Awesome

Time-Series Works and Conferences

Backlog (To do): KDD 2024, ICML 2024, IJCAI 2024 ...

Visit our GitHub Page for a better view.

<a href="#Conferences">Click here to jump to the Conferences page with more conference information.</a>

or AI ML Summary Github

Some other nice time-series repositories:

xiyuanzh/time-series-papers

qingsongedu/awesome-AI-for-time-series-papers

xuehaouwa/Awesome-Trajectory-Prediction

My Time-series Repo-Star List

I have a strong interest in time-series research. Welcome to contact me for discussions and collaborative efforts. <br> I am currently pursuing a doctoral degree in CSE of UNSW, Sydney, under the supervision of Prof. Flora Salim and Hao Xue. I got the master degree under the supervision of Prof. Xuan Song, Quanjun Chen and Renhe Jiang.

The task section has been completed and we will continue to update the methodology section. If you encounter any missing resources (papers/code) or errors, please don't hesitate to open an issue or make a pull request. Additionally, if you're interested in collaborating on this work, please feel free to contact me.

All papers are organized by task and methodology, including those not included in this GitHub repository, and are available for everyone to use on OneDrive and Google Drive (VPN required). The methodology section is still in progress.

OneDrive

Google Drive

To reduce repetition, some data are in abbreviated form. Some terms may not represent general interpretations and apply only to this repository.

Recent Time Series Works Grouped by Task

• <a href = "#Multivariable-Time-Series-Forecasting">Multivariable Time Series Forecasting</a>

• <a href = "#Multivariable-Probabilistic-Time-Series-Forecasting">Multivariable Probabilistic Time Series Forecasting</a>

• <a href = "#Time-Series-Imputation">Time Series Imputation</a>

• <a href = "#Time-Series-Anomaly-Detection">Time Series Anomaly Detection</a>

• <a href = "#Demand-Prediction">Demand Prediction</a>

• <a href = "#Time-Series-Generation">Time Series Generation</a>

• <a href = "#Travel-Time-Estimation">Travel Time Estimation</a>

• <a href = "#Traffic-Location-Prediction">Traffic Location Prediction</a>

• <a href = "#Event-Prediction">Event Prediction</a>

• <a href = "#Stock-Prediction">Stock Prediction</a>

• <a href = "#Other-Forecasting">Other Forecasting</a>

Multivariable Time Series Forecasting

Task	Data	Model	Paper	Code	Publication
Paper Nums:100+	<img width=150/>	<img width=220/>			<img width=300/>
Multivariable	TimesNet_data	SparseTSF	SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters	Pytorch <br> <br>	ICML 2024
Multivariable	Electricity <br> PEMSD7M <br> BikeNYC <br> TimesNet_data	SCNN	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting	Pytorch <br> <br>	TKDE 2024
Multivariable	TimesNet_data	iTransformer	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	NorPool <br> Caiso <br> Traffic <br> Electricity <br> Weather <br> Exchange <br> ETT <br> Wind	mr-Diff	ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis	None	ICLR 2024
Multivariable	ETT <br> Electricity <br> Weather <br> Traffic <br> Exchange <br> ILI	ModernTCN	Multi-Resolution Diffusion Models for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	Time-LLM	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	TEMPO	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	CARD	CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	ARM	ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning	None	ICLR 2024
Multivariable	TimesNet_data	DAM	DAM: Towards a Foundation Model for Forecasting	None	ICLR 2024
Multivariable	TimesNet_data <br> PEMS3478	TimeMixer	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	PDF	Periodicity Decoupling Framework for Long-term Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable <br> Missing Value	METR-LA <br> Electricity <br> PEMS <br> ETT <br> BeijingAir	BiTGraph	Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data <br> PEMS08	LIFT	Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators	Pytorch <br> <br>	ICLR 2024
Multivariable	ETT <br> Weather <br> ILI <br> Traffic	STanHop	STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction	Pytorch <br> <br>	ICLR 2024
Multivariable	ETT <br> Weather <br> Electricity <br> Traffic <br> ILI <br> CloudCluster	Pathformer	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting	Pytorch <br> <br>	ICLR 2024
Multivariable	TimesNet_data	pits	Learning to Embed Time Series Patches Independently	Pytorch <br> <br>	ICLR 2024
Multivariable	ETT <br> Weather <br> Electricity <br> Traffic	FITS	FITS: Modeling Time Series with 10k Parameters	Pytorch <br> <br>	ICLR 2024
Multivariable	ETT <br> Electricity <br> Weather <br> Lora	AutoTCL	Parametric Augmentation for Time Series Contrastive Learnin	Pytorch <br> <br>	ICLR 2024
Multivariable	ETT <br> Exchange <br> ILI	GLIP	Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction	Pytorch	ICLR 2024
Multivariable	TimesNet_data	UniTime	UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting	Pytorch <br> <br>	WWW 2024
Multivariable	Ross <br> Saratoga <br> UpperPen <br> SFC	DAN	Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting	Pytorch <br> <br>	AAAI 2024
Multivariable	ILI <br> Weather <br> Traffic <br> Electricity <br> ETT <br> Exchange	HDMixer	HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting	Pytorch <br> <br>	AAAI 2024
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> England <br> TaxiBJ <br> PEMS-BAY	STPGNN	Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting	None	AAAI 2024
Multivariable	FD001 <br> FD002 <br> FD003 <br> FD004	FC-STGNN	Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data	Pytorch <br> <br>	AAAI 2024
Multivariable	PEMS04 <br> PEMS08 <br> blockchain	TMP-Nets	Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence	None	AAAI 2024
Multivariable	METR-LA <br> PEMS-BAY	ModWaveMLP	ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting	TF <br> <br>	AAAI 2024
Multivariable	Flight <br> Weather <br> ETT <br> Electricity <br> Exchange	MSGNet	MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting	Pytorch <br> <br>	AAAI 2024
Multivariable	Self-PeMS	DLF	Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective	Pytorch <br> <br>	AAAI 2024
Multivariable	ETT <br> Weather <br> ILI <br> Exchange	HTV-Trans	Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting	Pytorch <br> <br>	AAAI 2024
Multivariable	A-share <br> Cross-Market <br> ETT	ST-DAN	Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction	Pytorch <br> <br>	AAAI 2024
Irregular	USHCN <br> MIMIC-III <br> MIMIC-IV <br> Physionet-12	GraFITi	GraFITi: Graphs for Forecasting Irregularly Sampled Time Series	Pytorch <br> <br>	AAAI 2024
Multivariable	ETT <br> Electricity <br> Traffic <br> Weather <br> Exchange	U-Mixer	U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting	None	AAAI 2024
Traffic <br> Flow	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	MultiSPANS	MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization	Pytorch <br> <br>	WSDM 2024
Multivariable	SIP <br> NYC <br> METR-LA	CreST	CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting	None	WSDM 2024
Multivariable	Web Traffic <br> Labour <br> Traffic <br> Tourism	HTS	NeuralReconciler for Hierarchical Time Series Forecasting	None	WSDM 2024
Multivariable	NYC13 <br> BikeNYC <br> Chicago21 <br> Chicago22	CityCAN	CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting	None	WSDM 2024
Multivariable	Solar <br> Wiki <br> Traffic <br> ECG <br> Electricity <br> COVID-19 <br> Weather <br> ETT	FreTS	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting	Pytorch <br> <br>	NIPS 2023
LLM4TS <br> Zero Shot	Darts <br> Monash <br> Informer	-	Large Language Models Are Zero-Shot Time Series Forecasters	LLM <br> <br>	NIPS 2023
Zero Shot	ECL <br>ETT <br> Exchange <br> ILI <br> Traffic <br> Weather	ForecastPFN	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting	TF <br> <br>	NIPS 2023
Multivariable	ECL <br> Traffic <br>ETT <br> Weather	WITRAN	WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting	Pytorch <br> <br>	NIPS 2023
Multivariable	ETT <br> Weather <br> PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	Neural Lad	Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling	None	NIPS 2023
Multivariable	ETT <br> Weather <br> Electricity	OneNet	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling	Pytorch <br> <br>	NIPS 2023
Multivariable <br> Solar Irradiance	CAB <br> TAM	CrossViVit	Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context	Pytorch <br> <br>	NIPS 2023
Multivariable	ECL <br>ETT <br> Exchange <br> ILI <br> Traffic <br> Weather	Koopa	Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors	Pytorch <br> <br>	NIPS 2023
Multivariable	GPVAR <br> METR-LA <br> PEMS-BAY <br> PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> CER-E<br>AQI	TTS-IMP	Taming Local Effects in Graph-based Spatiotemporal Forecasting	Pytorch <br> <br>	NIPS 2023
Multivariable	PEMS08 <br> AIR-BJ <br> AIR-GZ	CaST	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment	Pytorch <br> <br>	NIPS 2023
Multivariable	PEMS08 <br> METR-LA <br> NYC Taxi <br> NYC Bike	GPT-ST	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks	Pytorch <br> <br>	NIPS 2023
Multivariable	Solar <br> Wiki <br> Traffic <br> COVID-19	FourierGNN	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective	Pytorch <br> <br>	NIPS 2023
Multivariable	ETT <br> Weather <br> Electricity <br> Traffic	SimMTM	SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling	Pytorch <br> <br>	NIPS 2023
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	BasisFormer	BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis	Pytorch <br> <br>	NIPS 2023
Irregular	Neonate <br> Traffic <br> MIMIC <br> StackOverflow <br> BookOrder <br> Exchange <br> ETT <br> ILI<br> Weather	ContiFormer	ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling	Pytorch	NIPS 2023
Multivariable	Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI <br> ETT	SAN	Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective	Pytorch <br> <br>	NIPS 2023
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	DeepTime (Framework, <br> Fourier Features, <br> Meta-optimization)	Learning Deep Time-index Models for Time Series Forecasting	Pytorch <br> <br>	ICML 2023
Multivariable	Crime <br> CHI-Taxi <br> NYC-Bike <br> NYC-Taxi<br> CHI-House<br> NYC-House	GraphST	Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation	Pytorch <br> <br>	ICML 2023
Multivariable	Synthetic <br> Taxi <br> Electricity <br> Traffic	FeatureP (Feature Enhancement)	Feature Programming for Multivariate Time Series Prediction	Pytorch <br> <br>	ICML 2023
Multivariable	NorPool <br> Caiso <br> Weather <br> ETT <br> Wind <br> Traffic <br> Electricity <br> Exchange	TimeDiff	Non-autoregressive Conditional Diffusion Models for Time Series Prediction	None	ICML 2023
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	MICN	MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting	Pytorch <br> <br>	ICLR 2023
Multivariable	ETT <br> Weather <br> Electricity <br> ILI <br> Traffic	Crossformer	Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting	Pytorch <br> <br>	ICLR 2023
Forecast <br> Imputation <br> Classifi <br> AnomalyDet	ETT <br> M4 <br> Electricity <br> Weather <br>SMD,MSL <br> SMAP,SWaT <br> PSM	TimesNet	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis	Pytorch <br> <br>	ICLR 2023
Multivariable		Meta-SSM	Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting	Pytorch <br> <br>	ICLR 2023
Multivariable	ETT <br> Electricity <br> Traffic <br> Weather	FSNet	Learning Fast and Slow for Time Series Forecasting	Pytorch <br> <br>	ICLR 2023
Robust <br> Multivariable	Traffic <br> Taxi <br> Wiki <br> Electricity		Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms	Amazon	ICLR 2023
Multivariable	Electricity <br> Crypto <br> M4 <br> Traffic <br> Exchange	KNF	Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts	Pytorch <br> <br>	ICLR 2023
Multivariable	ETT <br> Weather <br> Electricity <br> Traffic <br> Exchange	SpaceTime	Effectively Modeling Time Series with Simple Discrete State Spaces	Pytorch <br> <br>	ICLR 2023
Multivariable	Weather <br> Traffic <br> Electricity <br> ILI <br> ETT	PatchTST	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	Pytorch <br> <br>	ICLR 2023
Multivariable	Exchange <br> Weather <br> Electricity <br> Traffic <br> ILI	Scaleformer	Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting	Pytorch <br> <br>	ICLR 2023
Multivariable <br> classification <br> AnomalyDec	Electricity <br> Weather <br> ETTm1 <br> MSL <br> SMD <br> SMAP	SBT	Sparse Binary Transformers for Multivariate Time Series Modeling	Pytorch <br> <br>	KDD 2023
Multivariable	SIP <br> METR-LA <br> KnowAir <br> Electricity	CauSTG	Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning	Pytorch <br> <br>	KDD 2023
Robust <br> Multivariable	PEMS-BAY <br> PEMS04	RDAT	Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training	Pytorch <br> <br>	KDD 2023
Multivariable	Beijing <br> Chengdu <br> Harbin	Frigate	Frigate: Frugal Spatio-temporal Forecasting on Road Networks	Pytorch <br> <br>	KDD 2023
Multivariable	XC-Traffic <br> NYC-Traffic	GCIM	Generative Causal Interpretation Model for Spatio-Temporal Representation Learning	None	KDD 2023
Multivariable	Tourism <br> Labour <br> Wiki <br> Flu-Symptoms <br> FB-Survey	PROFHiT	When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting	Pytorch <br> <br>	KDD 2023
Multivariable <br> Under Miss	AQI-36 <br> AQI <br> PEMS-BAY <br> CER-E <br> Healthcare <br> SMAP	MIDM	An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series	Author	KDD 2023
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> etc.	Localised	Localised Adaptive Spatial-Temporal Graph Neural Network	None	KDD 2023
Multivariable	PEMS3-Stream	PECPM	Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction	None	KDD 2023
Multivariable	Tourism <br> Wiki <br> Traffic	HPO	Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting	None	KDD 2023
Multivariable	Weather <br> Traffic <br> Electricity <br> ETT	TSMixer	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting	None	KDD 2023
Transfer <br> Traffic <br> Forecasting	PEMSD7M <br> PEMSD7M <br> METR-LA <br> PEMS-BAY	TransGTR	Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities	Author	KDD 2023
Multivariable	ETT <br> Traffic <br> Electricity <br> Exchange <br> Weather <br> ILI	DLinear	Are Transformers Effective for Time Series Forecasting	Pytorch <br> <br>	AAAI 2023
Multivariable	METR-LA <br> PEMSD7M	STC-Dropout	Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout	Pytorch <br> <br>	AAAI 2023
Multivariable	BJ-Bike <br> NYC-Bike	STNSCM	Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction	Pytorch <br> <br>	AAAI 2023
Multivariable	XC-Trans <br> XC-Speed	CCHMM	Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction	Pytorch <br> <br>	AAAI 2023
Multivariable	NYCBike1 <br> NYCBike2 <br> NYCTaxi <br> BJTaxi	ST-SSL	Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction	Pytorch <br> <br>	AAAI 2023
Multivariable	PV-US <br> CER-En	SGP	Scalable Spatiotemporal Graph Neural Networks	Pytorch <br> <br>	AAAI 2023
Multivariable	Electricity <br> Solar <br> PEMS-BAY <br> METR-LA	SRD	Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling	Pytorch <br> <br>	AAAI 2023
Multivariable	ETT <br> Electricity	InfoTS	Time Series Contrastive Learning with Information-Aware Augmentations	Pytorch <br> <br>	AAAI 2023
Multivariable	PhysioNet <br> MIMIC-III <br> Activity <br> Appliances Energy	PrimeNet	PrimeNet: Pre-training for Irregular Multivariate Time Series	Pytorch <br> <br>	AAAI 2023
Multivariable	Electricity <br> ETT <br> Weather	Dish-TS	Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting	Pytorch <br> <br>	AAAI 2023
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	NHITS	NHITS: Neural Hierarchical Interpolation for Time Series Forecasting	Pytorch <br> <br>	AAAI 2023
Multivariable	METR-LA <br> ETT <br> Weather	MegaCRN	Spatio-Temporal Meta-Graph Learning for Traffic Forecasting	Pytorch <br> <br>	AAAI 2023
Multivariable	Santa <br> Traffic	NEC+	An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks	Pytorch <br> <br>	AAAI 2023
Extreme MTSF	Electricity <br> Solar <br> Weather <br> Traffic	WaveForM	WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series	Pytorch <br> <br>	AAAI 2023
Multivariable	PEMS04 <br> PEMS07 <br> PEMS08 <br> NYCTaxi <br> CHBike <br> TDrive	PDFormer	PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction	Pytorch <br> <br>	AAAI 2023
Multivariable	AmapBeijing <br> AmapChengdu	STGNPP	Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction	None	AAAI 2023
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	InParformer	InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting	None	AAAI 2023
Multivariable	Tourism <br> Labour <br> M5	SLOTH	SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies	None	AAAI 2023
Multivariable	Wind <br> Solar	eForecaster	eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms	None	AAAI 2023
Multivariable	NYCTaxi <br> PEMS04	AutoSTL	AutoSTL: Automated Spatio-Temporal Multi-Task Learning	None	AAAI 2023
Multivariable	METR-LA <br> PEMS-BAY	Trafformer	Trafformer: Unify Time and Space in Traffic Prediction	None	AAAI 2023
Multivariable	Electricity <br> PM2.5 <br> Exchange	DeLELSTM	DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series	Pytorch <br> <br>	IJCAI 2023
Multivariable	NYC-Bike <br> PEMS-BAY <br> PEMS08	ReMo	Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting	Pytorch <br> <br>	IJCAI 2023
Multivariable	NASA	MetePFL	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data	Pytorch <br> <br>	IJCAI 2023
Multivariable	Hurricane <br> Climate	Self-Recover	Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning	None	IJCAI 2023
Multivariable	Weather <br> Traffc <br> Electricity <br> Exchange <br> ILI	SMARTformer	SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting	None	IJCAI 2023
Multivariable	METR-LA <br> Beijing <br> Xiamen	INCREASE	INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging	TF <br> <br>	WWW 2023
Multivariable	MQPS <br> ETT <br> Electricity	KAE-Informer	KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices	Pytorch <br> <br>	WWW 2023
Multivariable	Typhoon-JP <br> COVID-JP <br> Hurricane-US	MemeSTN	Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster	Pytorch <br> <br>	WWW 2023
Multivariable	NYC <br> Chicago	EALGAP	Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning	Keras <br> <br>	ICDE 2023
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	DyHSL	Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting	Pytorch <br> <br>	ICDE 2023
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	STWave	When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks	Pytorch <br> <br>	ICDE 2023
Multivariable	Seattle <br> PEMS04 <br> PEMS08	SSTBAN	Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting	Pytorch <br> <br>	ICDE 2023
Multivariable	PEMSD4 <br> PEMSD8 <br> AirBJ <br> TrafficSIP	MGTF	A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework	Author	WSDM 2023
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS04 <br> PEMS07 <br> PEMS08	STAEformer	Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting	Pytorch <br> <br>	CIKM 2023
Traffic	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	TrendGCN	Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting	Pytorch <br> <br>	CIKM 2023
Multivariable	ETT <br> Electricity <br> Traffic <br> Weather <br> ILI <br> Exchange	GCformer	GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting	Pytorch <br> <br>	CIKM 2023
Multivariable	ETT <br> Electricity <br> Traffic	Seq2Peak	Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting	Pytorch <br> <br>	CIKM 2023
Multivariable	PEMS04 <br> PEMS07 <br> PEMS08 <br> NYC Crime <br> CHI Crime	CL4ST	Spatio-Temporal Meta Contrastive Learning	Pytorch <br> <br>	CIKM 2023
Multivariable	NYC Bike <br> NYC Taxi	MLPST	MLPST: MLP is All You Need for Spatio-Temporal Prediction	Author	CIKM 2023
Multivariable	TaxiBJ <br> BikeNYC	MC-STL	Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction	Pytorch <br> <br>	CIKM 2023
Multivariable	PeMS <br> Beijing <br> Electricity <br> COVID-CHI	MemDA	MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation	Pytorch <br> <br>	CIKM 2023
Cross City <br> Traffic	PEMS-BAY <br> METR-LA <br> Chengdu <br> Shenzhen	TPB	Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank	Pytorch <br> <br>	CIKM 2023
Traffic Speed	METR-LA <br> PEMS-BAY <br> PEMSD7M	UAGCRN	Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis	TF <br> <br>	CIKM 2023
Multivariable	Complaint <br> NYC Taxi	PromptST	PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction	Pytorch <br> <br>	CIKM 2023
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS08	HIEST	Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting	Pytorch <br> <br>	CIKM 2023
Multivariable	ETT <br> Electricity <br> Weather <br> Traffic	TemDep	TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction	Pytorch <br> <br>	CIKM 2023
Traffic	BJ-Center <br> METR-LA	ST-MoE	ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction	None	CIKM 2023
Multivariable	ETT <br> Electricity <br> Weather <br> Traffic <br> Exchange	AVGNets	Learning Visibility Attention Graph Representation for Time Series Forecasting	None	CIKM 2023
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	STGBN	Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting	None	CIKM 2023
Multivariable	ETT <br> Electricity <br> Traffic <br> ILI <br> Exchange	FAMC-Net	FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting	None	CIKM 2023
Cross City <br> Traffic	NYC <br> Chicago <br> Nashville	CARPG	CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation	None	CIKM 2023
Traffic	SPEED <br> FLOW	CANet	Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting	None	CIKM 2023
Multivariable	ETT <br> Exchange <br> ILI <br> Weather <br> Electricity <br> Traffic	DSformer	DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction	None	CIKM 2023
Multivariable	Wufu	MODE	Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data	None	CIKM 2023
Multivariable	NYC	MetaRSTP	Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning	None	CIKM 2023
Multivariable	SIP <br> NYC <br> METR-LA	G2S	Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics	None	SDM 2023
Multivariable	Solar <br> PEMS-BAY <br> Electricity	ERL	Time-delayed Multivariate Time Series Predictions	None	SDM 2023
Multivariable	Weather2K	Weather2K	Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations	Weather2K <br> <br>	AISTATS 2023
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	FiLM	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2022
Multivariable	ETT <br> Electricity <br> Exchange <br> Weather	LaST	Learning Latent Seasonal-Trend Representations for Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2022
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	WaveBound	WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2022
Multivariable	COVID-19 <br> PEMS04 <br> PEMS08 <br> Temperature <br> Bytom <br> Wind	ZFC-SHCN	Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting	Future	NeurIPS 2022
Multivariable	ETT <br> Traffic <br> Solar <br> Electricity <br> Exchange <br> PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	SCINet	SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction	Pytorch <br> <br>	NeurIPS 2022
Multivariable	Electricity <br> ETT <br> Exchange <br> ILI <br> Traffic <br> Weather	NonstaTransformer	Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2022
Multivariable	Traffic <br> Solar <br> Electricity <br> Exchange <br> PEMS07(M) <br> PEMS-BAY	TPGNN	Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks	Future	NeurIPS 2022
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	DSTAGNN	DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting	Pytorch <br> <br>	ICML 2022
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	FEDformer <br> (EncDec,<br> EnhancedFeature)	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting	Pytorch <br> <br>	ICML 2022
Multivariable	Traffic <br> Electricity <br> Wiki <br> Sales	DAF	DAF-Domain Adaptation for Time Series Forecasting via Attention Sharing	None	ICML 2022
Multivariable	Electricity <br> Solar <br> Fred MD <br> KDD Cup	TACTiS <br> (Copulas,<br> Trans)	TACTiS: Transformer-Attentional Copulas for Time Series	Pytorch <br> <br>	ICML 2022
Multivariable	French <br> Electricity	AgACI	Adaptive Conformal Predictions for Time Series	Python,R <br> <br>	ICML 2022
Traffic Speed	NAVER-Seoul <br> METR-LA	PM-MemNet <br> (Mem,KNN)	Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting	Pytorch <br> <br>	ICLR 2022
Multivariable	PEMS03 <br> PEMS04 <br> PEMS08 <br> COVID-19,etc	TAMP-S2GCNets <br> (GCN,AR, <br> Topological Features)	TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting	Pytorch	ICLR 2022
Multivariable	ETT <br> Electricity <br> Weather	CoST	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	Pytorch <br> <br>	ICLR 2022
Multivariable	Electricity <br> Traffic <br> M4 <br> CASIO <br> NP	DEPTS	DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting	Pytorch <br> <br>	ICLR 2022
Multivariable	ETT <br> Electricity <br> Wind <br> App Flow	Pyraformer	Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting	Pytorch <br> <br>	ICLR 2022
Multivariable	ETT <br> Electricity <br> M4 <br> Air Quality <br> Nasdaq	RevIN	Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift	Pytorch <br> <br>	ICLR 2022
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS04 <br> PEMS08	D2STGNN	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	Pytorch <br> <br>	VLDB 2022
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS04	STEP	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting	Pytorch <br> <br>	KDD 2022
Multivariable	Solar <br> Electricity <br> Exchange <br> Wind <br> NYCBike <br> NYCTaxi	ESG	Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting	Pytorch <br> <br>	KDD 2022
Multivariable	METR-LA <br> Solar <br> Traffic <br> ECG5000	VSF	Multi-Variate Time Series Forecasting on Variable Subsets	Pytorch,dgl <br> <br>	KDD 2022
Multivariable	DC Bike <br> DC Taxi	CrossTReS	Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting	Pytorch,dgl <br> <br>	KDD 2022
Multivariable	ETT <br> Weather <br> Exchange <br> Traffic <br> Electricity	Quatformer	Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting	MRA-BGCN Author <br> None Code	KDD 2022
Multivariable	NYCBike <br> NYCTaxi <br> PEMS03 <br> PEMS08	GMSDR	MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting	Pytorch <br> <br>	KDD 2022
Multivariable	Hangzhou <br> NYC	DTIGNN	Modeling Network-level Traffic Flow Transitions on Sparse Data	Pytorch <br> <br>	KDD 2022
Multivariable	Temperature <br> Cloud cover <br> Humidity <br> Wind	CLCRN	Conditional Local Convolution for Spatio-temporal Meteorological Forecasting	Pytorch <br> <br>	AAAI 2022
Traffic Flow	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> PEMS07(M) <br> PEMS07(L)	STG-NCDE	Graph Neural Controlled Differential Equations for Traffic Forecasting	Pytorch <br> <br>	AAAI 2022
Traffic Flow	GT-221 <br> WRS-393 <br> ZGC-564	STDEN	STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction	Pytorch <br> <br>	AAAI 2022
Multivariable	Electricity <br> Traffic <br> PEMS07(M) <br> METR-LA	CATN	CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting	None	AAAI 2022
Multivariable	ETT <br> Electricity	TS2Vec	TS2Vec: Towards Universal Representation of Time Series	Pytorch <br> <br>	AAAI 2022
Multivariable	ETT <br> Electricity <br> Weather	Triformer	Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version	Pytorch <br> <br>	IJCAI 2022
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	FOGS	FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting	Pytorch <br> <br>	IJCAI 2022
Multivariable	PEMS04 <br> PEMS08 <br> RPCM	RGSL	Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting	Pytorch <br> <br>	IJCAI 2022
Multivariable	Air Quality <br> Parking	DMGA	Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention	None	IJCAI 2022
Multivariable	YellowCab <br> GreenCab <br> Solar	ST-KMRN	Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data	Author	IJCAI 2022
Multivariable	NYCTaxi <br> NYCBike <br> CHIBike <br> BJTaxi <br> Chengdu	STAN	When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters	None	IJCAI 2022
Multivariable	Hurricanes <br> Ausgrid <br> Weather	DeepExtrema	DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data	Pytorch <br> <br>	IJCAI 2022
Multivariable	GoogleSymptoms <br> Covid19 <br> Power <br> Tweet	CAMul	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting	Pytorch <br> <br>	WWW 2022
Multivariable	Electricity <br> Stock	MRLF	Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction	Pytorch <br> <br>	WWW 2022
Multivariable <br> Classification <br> Forecasting	MuJoCo <br> Google Stock	EXIT	EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting	Pytorch <br> <br>	WWW 2022
Traffic Flow	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	ST-WA	Towards Spatio- Temporal Aware Traffic Time Series Forecasting	Pytorch <br> <br>	ICDE 2022
Mobility <br> Prediction	NYC <br> Dallas <br> Miami	SHIFT	Translating Human Mobility Forecasting through Natural Language Generation	Hao Xue	WSDM 2022
Traffic Flow	TaxiBJ <br> BikeNYC	ST-GSP	ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction	Pytorch <br> <br>	WSDM 2022
Multivariable	Traffic <br> Temperature	ReTime	Retrieval Based Time Series Forecasting	None	CIKM 2022
Multivariable	Rainfall <br> Traffic <br> ETT <br> Stock <br> Climate	DXtreMM	Deep Extreme Mixture Model for Time Series Forecasting	Pytorch <br> <br>	CIKM 2022
MTS Analysis <br> MTS Forecasting <br> Anormaly Detection	ETT <br> Electricity <br> SMD <br> SMAP <br> MSL <br> SWaT	MARINA	MARINA: An MLP-Attention Model for Multivariate Time-Series	None	CIKM 2022
Traffic Speed	METR-LA <br> PEMS-BAY	ResCAL	Residual Correction in Real-Time Traffic Forecasting	None	CIKM 2022
Model Selection		AutoForecast	AutoForecast: Automatic Time-Series Forecasting Model Selection	None	CIKM 2022
Traffic Flow	PEMS04 <br> PEMS07 <br> PEMS08	DastNet	Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities	Pytorch <br> <br>	CIKM 2022
Traffic Flow & Speed	METR-LA <br> PEMS-BAY <br> PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	AutoSTS	Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction	YongLi THU	CIKM 2022
Traffic Condition	TRCV-BJ <br> TRCV-SH <br> TRCV-ZZ	DuTraffic	DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps	None	CIKM 2022
Multivariable	ETT <br> Electricity <br> WTH <br> Weather <br> ILI <br> Exchange	Linear	Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting?	None	CIKM 2022
Multivariable	Solar <br> Traffic <br> Electricity <br> Exchange	MAGL	Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting	None	CIKM 2022
Multivariable	PEMS04 <br> PEMS07 <br> PEMS08 <br> PEMS-BAY <br> Electricity	STID	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting	Pytorch <br> <br>	CIKM 2022
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS04 <br> PEMS07	ASTTN	Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting	None	CIKM 2022
Multivariable	Seoul	CGAN	Context-aware Traffic Flow Forecasting in New Roads	None	CIKM 2022
Traffic Flow & Speed	METR-LA <br> PEMS-BAY <br> PEMS-M <br> PEMS04 <br> PEMS08	ST-GAT	ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction	Author	CIKM 2022
Traffic Speed	METR-LA <br> PEMS-BAY	HOMGNNs	Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction	Pytorch <br> <br>	ICDM 2022
Multivariable	M4 <br> Electricity <br> car-parts	TopAttn	Topological Attention for Time Series Forecasting	Pytorch<br> <br> <br> Future	NeurIPS 2021
Multivariable	Rossmann <br> M5 <br> Wiki	MisSeq	MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data	None	NeurIPS 2021
Multivariable	ETT <br> Electricity <br> Exchange <br> Traffic <br> Weather <br> ILI	Autoformer	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Pytorch <br> <br>	NeurIPS 2021
Multivariable	PEMS04 <br> PEMS08 <br> Traffic <br> ADI <br> M4 ,etc	Error	Adjusting for Autocorrelated Errors in Neural Networks for Time Series	Pytorch <br> <br>	NeurIPS 2021
Multivariable	Bytom <br> Decentraland <br> PEMS04 <br> PEMS08	Z-GCNETs	Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting	Pytorch <br> <br>	ICML 2021
Multivariable	PEMS07(M) <br> METR-LA <br> PEMS-BAY	Cov	Conditional Temporal Neural Processes with Covariance Loss	None	ICML 2021
Multivariable	METR-LA <br> PEMS-BAY <br> PMU	GTS	Discrete Graph Structure Learning for Forecasting Multiple Time Series	Pytorch <br> <br>	ICLR 2021
Multivariable	Benz <br> Air Quality <br> FuelMoisture	framework	A Transformer-based Framework for Multivariate Time Series Representation Learning	Pytorch <br> <br>	KDD 2021
Federated Multivariable	PEMS-BAY <br> METR-LA	CNFGNN	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling	Pytorch <br> <br>	KDD 2021
Traffic Speed	PEMS04 <br> PEMS08 <br> England	DMSTGCN	Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting	Pytorch <br> <br>	KDD 2021
Traffic Flow	PEMS07(M) <br> PEMS07(L) <br> PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	STGODE	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting	Pytorch <br> <br>	KDD 2021
Multivariable	BikeNYC <br> PEMS07(M) <br> Electricity	ST-Norm	ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting	Pytorch <br> <br>	KDD 2021
Multivariable	DiDiXM <br> DiDiCD	TrajNet	TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction	None	KDD 2021
Robust Forecasting	MIMIC-III <br> USHCN <br> KDD-CUP	DGM	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	Pytorch <br> <br>	AAAI 2021
Multivariable	Guangzhou <br> Seattle <br> HZMetro , etc.	DSARF	Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting	Pytorch <br> <br>	AAAI 2021
Traffic Speed	METR-LA <br> PEMS-BAY	FC-GAGA	FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting	TF <br> <br>	AAAI 2021
Traffic Speed	DiDiJiNan <br> DiDiXiAn	HGCN	Hierarchical Graph Convolution Network for Traffic Forecasting	Pytorch <br> <br>	AAAI 2021
Multivariable	ETT <br> Weather <br> Electricity	Informer	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	Pytorch <br> <br>	AAAI 2021
Traffic Flow	NYCMetro <br> NYC Bike <br> NYC Taxi	MOTHER	Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction	None	AAAI 2021
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS07(M) <br> PEMS07(L) <br> PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	STFGNN	Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting	Mxnet <br> <br>	AAAI 2021
Multivariable	BJ Taxi <br> NYC Taxi <br> NYC Bike1 <br> NYC Bike2	STGDN	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network	Mxnet <br> <br>	AAAI 2021
Traffic Flow	SG-TAXI	TrGNN	Traffic Flow Prediction with Vehicle Trajectories	Pytorch <br> <br>	AAAI 2021
Multivariable	Road <br> POIs <br> SIGtraf	DMLM	Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach	Future	IJCAI 2021
Multivariable	East Bay <br> METR-LA <br> US	D-DA-GRNN	EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting	Pytorch <br> <br>	ICDE 2021
Multivariable	Water <br> Humidity <br> Wind, etc	EA-DRL	An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting	None	ICDE 2021
Traffic Flow	TaxiBJ <br> DiDiCD <br> TaxiRome	AttConvLSTM	Modeling Citywide Crowd Flows using Attentive Convolutional LSTM	None	ICDE 2021
Traffic Speed <br> Traffic Flow	METR-LA <br> PEMS-BAY <br> eMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08...	Benchmark	An Empirical Experiment on Deep Learning Models for Predicting Traffic Data	Future	ICDE 2021
Multivariable	Motes <br> Soil <br> Revenue <br> Traffic <br> 20CR	NET	Network of Tensor Time Series	Pytorch <br> <br>	WWW 2021
Multivariable	VevoMusic <br> WikiTraffic <br> LOS-LOOP <br> SZ-taxi	Radflow	Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series	Pytorch <br> <br>	WWW 2021
Multivariable	METR-LA <br> Wiki-EN	REST	REST: Reciprocal Framework for Spatiotemporal-coupled Predictions	None	WWW 2021
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> HZMetro	ASTGNN	Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting	Pytorch <br> <br>	TKDE 2021
Multivariable	TaxiBJ <br> BikeNYC-I <br> BikeNYC-II <br> TaxiNYC <br> METR-LA <br> PEMS-BAY <br> PEMS07(M)	DL-Traff	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction	Graph:PyTorch <br> Grid:TF <br> <br>	CIKM 2021
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS07(M)	TorchGeoTem	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models	PyTorch	CIKM 2021
Traffic Flow	TaxiBJ <br> BikeNYC	LLF	Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction	None	CIKM 2021
Multivariable	ETT <br> Electricity	HI	Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting	None	CIKM 2021
Multivariable	ETT <br> ELE	AGCNT	AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting	None	CIKM 2021
Cellular Traffic	cellular	MPGAT	Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic	Pytorch <br> <br> <br> Future	CIKM 2021
Traffic Speed	METR-LA <br> PEMS-BAY <br> Simulated	STNN	Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting	Pytorch <br> <br>	ICDM 2021
Traffic Speed	DiDiCD <br> DiDiXiAn	T-wave	Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting	Pytorch <br> <br>	ICDM 2021
Multivariable	Sanyo <br> Hanergy <br> Solar <br> Electricity <br> Exchange	SSDNet	SSDNet: State Space Decomposition Neural Network for Time Series Forecasting	Pytorch <br> <br>	ICDM 2021
Traffic Volumn	HangZhou City <br> JiNan City	CTVI	Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference	Pytorch <br> <br>	ICDM 2021
Traffic Volumn	Uber Movements <br> Grab-Posisi	TEST-GCN	TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting	None	ICDM 2021
Multivariable	Air Quality City <br> Meterology	ATGCN	Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction	None	WSDM 2021
Traffic Flow	WalkWLA <br> BikeNYC <br> TaxiNYC	PDSTN	Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network	None	WSDM 2021
Traffic Flow	PEMS04 <br> PEMS08	AGCRN	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	Pytorch <br> <br>	NeurIPS 2020
Multivariable	Electricity <br> Traffic <br> Wind <br> Solar <br> M4-Hourly	AST	Adversarial Sparse Transformer for Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2020
Multivariable	METR-LA <br> PEMS-BAY <br> PEMS07 <br> PEMS03 <br> PEMS04 ,etc	StemGNN	Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting	Pytorch <br> <br>	NeurIPS 2020
Multivariable	M4 <br> M3 <br> Tourism	N-BEATS	N-BEATS: Neural basis expansion analysis for interpretable time series forecasting	Pytorch+Keras <br> <br>	ICLR 2020
Traffic Flow	Traffic <br> Energy <br> Electricity <br> Exchange <br> METR-LA <br> PEMS-BAY	MTGNN	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks	Pytorch <br> <br>	KDD 2020
Traffic Flow	Taxi-NYC <br> Bike-NYC <br> CTM	DSAN	Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction	TF <br> <br>	KDD 2020
Traffic Speed <br> Traffic Flow	Shenzhen	Curb-GAN	Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks	Pytorch <br> <br>	KDD 2020
Traffic Flow	TaxiBJ <br> CrowdBJ <br> TaxiJN <br> TaxiGY	AutoST	AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction	None	KDD 2020
Traffic Volumn	W3-715 <br> E5-2907	HSTGCN	Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data	None	KDD 2020
Multivariable	Xiamen <br> PEMS-BAY	GMAN	GMAN: A Graph Multi-Attention Network for Traffic Prediction	TF<br> <br> <br> Pytorch	AAAI 2020
Multivariable	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	STSGCN	Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting	Mxnet <br> <br> <br> Pytorch <br> <br>	AAAI 2020
Multivariable	Traffic <br> Energy <br> NASDAQ	MLCNN	Towards Better Forecasting by Fusing Near and Distant Future Visions	Pytorch <br> <br>	AAAI 2020
Multivariable	PEMS-S <br> PEMS-BAY <br> METR-LA <br> BJF <br> BRF <br> BRF-L	SLCNN	Spatio-temporal graph structure learning for traffic forecasting	None	AAAI 2020
Traffic Speed	METR-LA <br> PEMS-BAY	MRA-BGCN	Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting	None	AAAI 2020
Metro Flow	HKMetro	WDGTC	Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction	TF <br> <br>	AAAI 2020
Multivariable	MovingMNIST <br> TaxiBJ <br> KTH	SA-ConvLSTM	Self-Attention ConvLSTM for Spatiotemporal Prediction	TF <br> <br> <br> PyTorch	AAAI 2020
Metro Flow	SydneyMetro	MLC-PPF	Potential Passenger Flow Prediction-A Novel Study for Urban Transportation Development	None	AAAI 2020
Commuting Flow	Lodes <br> Pluto <br> OSRM	GMEL	Learning Geo-Contextual Embeddings for Commuting Flow Prediction	Pytorch <br> <br>	AAAI 2020
Multivariable	Traffic <br> Exchange <br> Solar	DeepTrends	Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series	TF <br> <br>	AAAI 2020
Multivariable	Traffic <br> Electricity <br> SmokeVideo <br> PCSales <br> RawMaterials	BHT	Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting	Python <br> <br>	AAAI 2020
Traffic Speed	PEMS04 <br> PEMS07 <br> PEMS08	LSGCN	LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks	TF <br> <br>	IJCAI 2020
Traffic Flow	BikeNYC <br> MobileBJ	CSCNet	A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling	None	IJCAI 2020
Multivariable	USDCNY <br> USDKRW <br> USDIDR	WATTNet	WATTNet: learning to trade FX via hierarchical spatio-temporal representation of highly multivariate time series	TF <br> <br>	IJCAI 2020
Fine-grained	CitiBikeNYC <br> Div <br> Metro	GACNN	Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems	None	WWW 2020
Flow <br> Distribution	Austin <br> Louisville <br> Minneapolis	GCScoot	Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration	None	WWW 2020
Traffic Speed	METR-LA <br> PEMS-BAY	STGNN	Traffic Flow Prediction via Spatial Temporal Graph Neural Network	Pytorch <br> <br>	WWW 2020
Traffic Speed	DiDiCD	STAG-GCN	Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting	Pytorch <br> <br>	CIKM 2020
Traffic Speed	METR-LA <br> PEMS-BAY	ST-GRAT	ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed	Pytorch <br> <br>	CIKM 2020
Traffic Flow	BJ-Taxi <br> NYC-Taxi <br> NYC-Bike-1 <br> NYC-Bike-2	ST-CGA	Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting	Keras <br> <br>	CIKM 2020
Traffic Flow	NYCBike <br> NYCTaxi	MT-ASTN	Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction	Pytorch <br> <br>	CIKM 2020
Traffic Speed	SFO <br> NYC	DIGC	Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction	None	CIKM 2020
Metro Flow	SZMetro <br> HZMetro	STP-TrellisNets	STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction	None	CIKM 2020
Multivariable	Air Quality <br> BikeNYC <br> METR-LA	AGSTN	AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting	Keras <br> <br>	ICDM 2020
Traffic Speed	METR-LA <br> PEMS-BAY	FreqST	FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction	None	ICDM 2020
Traffic Flow	PEMS03 <br> PEMS07	TSSRGCN	Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting	None	ICDM 2020
Multivariable	Air Quality <br> DarkSky <br> Geographic	DeepLATTE	Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction	Pytorch <br> <br>	ICDM 2020
Traffic Flow	XATaxi <br> BJTaxi <br> PortoTaxi	ST-PEFs	Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction Based on Potential Energy Fields	None	ICDM 2020
Traffic Speed <br> Flow	SZSpeed <br> SZTaxi	cST-ML	cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction	Pytorch <br> <br>	ICDM 2020
Multivariable	Electricity <br> Traffic <br> Wiki <br> PEMS07(M)	DeepGLO	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2019
Multivariable	Electricity <br> Traffic <br> Solar <br> M4 <br> Wind	LogSparse	Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2019
Multivariable	Synthetic <br> ECG5000 <br> Traffic	DILATE	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models	Pytorch <br> <br>	NeurIPS 2019
Traffic Flow	Earthquake	DeepUrbanEvent	DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events	Keras <br> <br>	KDD 2019
Traffic Flow <br> Speed	TDrive <br> METR-LA	ST-MetaNet	Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning	Mxnet <br> <br>	KDD 2019
Multivariable	Rossman <br> Walmart <br> Electricity <br> Traffic <br> Parts	ARU	Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units	TF <br> <br>	KDD 2019
Multivariable	Air Quality	AccuAir	AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018	None	KDD 2019
Traffic Flow	Simulated <br> RoadTraffic <br> Wikipedia	ERMreg	Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions	None	KDD 2019
Multivariable <br> under event	Climate <br> Stock <br> Pseudo	EVL	Modeling Extreme Events in Time Series Prediction	None	KDD 2019
Traffic Flow	PEMS04 <br> PEMS08 <br> METR-LA	ASTGCN	Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting	Mxnet <br> <br>	AAAI 2019
Traffic Flow <br> Speed	NYC <br> PEMS0(M)	DGCNN	Dynamic spatial-temporal graph convolutional neural networks for traffic forecasting	None	AAAI 2019
Traffic FLow	NYC-Taxi <br> NYC-Bike	STDN	Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction	Keras <br> <br>	AAAI 2019
Traffic Flow	MobileBJ <br> BikeNYC	DeepSTN+	DeepSTN+: context-aware spatial-temporal neural network for crowd flow prediction in metropolis	TF <br> <br>	AAAI 2019
Traffic Speed	METR-LA <br> PEMS-BAY	Res-RGNN	Gated residual recurrent graph neural networks for traffic prediction	None	AAAI 2019
Traffic FLow	MetroBJ <br> BusBJ <br> TaxiBJ	GSTNet	GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction	Pytorch <br> <br>	IJCAI 2019
Traffic Speed	METR-LA <br> PEMS-BAY	GWN	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	Pytorch <br> <br>	IJCAI 2019
Traffic Flow	DidiSY <br> BikeNYC <br> TaxiBJ	STG2Seq	STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting	TF <br> <br>	IJCAI 2019
Multivariable	GHL <br> Electricity <br>TEP	DyAt	DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems	Pytorch <br> <br>	IJCAI 2019
Multivariable	Air Quality	MGED	Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction	None	IJCAI 2019
Traffic Volumn	Chicago <br> Boston	MetaST	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction	TF <br> <br>	WWW 2019
TrafficPred <br> imputation	GZSpeed <br> HZMetro <br> Seattle <br> London	BTF	Bayesian Temporal Factorization for Multidimensional Time Series Prediction	Python <br> <br>	TPAMI 2019
Multivariable	Gas Station	DSANet	DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting	Pytorch <br> <br>	CIKM 2019
Multivariable	Solar <br> Traffic <br> Exchange <br> Electricity <br> PEMS ,etc	Study	Experimental Study of Multivariate Time Series Forecasting Models	None	CIKM 2019
Traffic Speed	DiDiCD <br> DiDiXA	BTRAC	Boosted Trajectory Calibration for Traffic State Estimation	None	ICDM 2019
Multivariable	Photovoltaic	MTEX-CNN	MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks	Pytorch <br> <br>	ICDM 2019
Traffic Speed	BJER4 <br> PEMS07(M) <br> PEMS07(L)	STGCN	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	TF <br> <br> Mxnet Pytorch1 <br> <br> Pytorch2 Pytorch3 <br> <br>	IJCAI 2018
Traffic Speed	METR-LA <br> PEMS-BAY	DCRNN	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	TF <br> <br> Pytorch	ICLR 2018

Multivariable Probabilistic Time Series Forecasting

Task	Data	Model	Paper	Code	Publication
Paper Nums:40+	<img width=150/>	<img width=220/>			<img width=300/>
probability	Exchange <br> ILI <br> ETT <br> Electricity <br> Traffic <br> Weather	TMDM	Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting	None	ICLR 2024
probability	Exchange <br> Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia	VQ-TR	VQ-TR: Vector Quantized Attention for Time Series Forecasting	None	ICLR 2024
Conformer	COVID-19	CopulaCPTS	Copula Conformal prediction for multi-step time series prediction	Pytorch <br> <br>	ICLR 2024
probability	Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia	LDT	Latent Diffusion Transformer for Probabilistic Time Series Forecasting	None	AAAI 2024
probability	Solar <br> Electricity <br> Traffic <br> Exchange <br> M4-Hourly <br> UberTLC <br> KDDCup <br> Wikipedia	TSDiff	Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting	GluonTS <br> <br>	NIPS 2023
Quantile	Electricity <br> Kaggle <br> M4-daily <br> Traffic <br> Wiki	Ensemble	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting	None	ICML 2023
Quantile	Boston <br> Concrete <br> kin8nm <br> Power <br> Protein <br> Wine <br> M5	BVAE	Neural Spline Search for Quantile Probabilistic Modeling	None	AAAI 2023
Quantile	Traffc <br> Electricity <br> Solar Energy	pTSE	pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting	None	IJCAI 2023
probability	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08	DeepSTUQ	Uncertainty Quantification for Traffic Forecasting: A Unified Approach	None	ICDE 2023
probability	Electricity <br> Traffc <br> Solar <br> Exchange <br> M4	PDTrans	Probabilistic Decomposition Transformer for Time Series Forecasting	Pytorch <br> <br>	SDM 2023
probability	Taxi<br> <br> Electricity Traffc<br> Exchange	COPDEEPAR	Coherent Probabilistic Forecasting of Temporal Hierarchies	GluonTS	AISTATS 2023
probability	Traffic <br> Electricity <br> Weather <br> ETT <br> Wind	BVAE	Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement	Paddle	NeurIPS 2022
probability &	Stock Price <br> Wind Speed	Volat	Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes	Pytorch,GPyTorch <br> <br>	ICML 2022
probability & <br> Point & <br> Others	electricity <br> Yacht <br> Boston, etc	AQF	Autoregressive Quantile Flows for Predictive Uncertainty Estimation	None	ICLR 2022
probability	IRIS <br> Digits <br> EightSchools	EMF	Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling	Pytorch <br> <br>	ICLR 2022
probability	Bike Sharing <br> UCI <br> NYU Depth v2	NatPN	Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions	Pytorch <br> <br>	ICLR 2022
probability	Carbon <br> Concrete <br> Energy <br> Housing,etc	β−NLL	On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks	Pytorch <br> <br>	ICLR 2022
probability & Point	CDP <br> SLD	STZINB-GNN	Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks	Pytorch <br> <br>	KDD 2022
probability & Point	Sichuan <br> Panama	PrEF	PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model	None	AAAI 2022
probability	ETT <br> Solar <br> Electricity	KLST	Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts	Pytorch <br> <br>	IJCAI 2022
probability	Exchange <br> Solar <br> Electricity <br> Traffic <br> Wiki	EMSSM	Memory Augmented State Space Model for Time Series Forecasting	None	IJCAI 2022
Prediction <br> Intervals	DMV <br> Census <br> Forest <br> Power	Evaluation	Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation	None	ICDE 2022
Periodic Forecasting	ETT <br> Weather	DeepFS	Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting	None	CIKM 2022
probability	Electricity <br> Traffic <br> Wiki <br> M4	ISQF	Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting	GluonTS	AISTATS 2022
probability	M4 <br> Traffic <br> Electricity	Robust	Robust Probabilistic Time Series Forecasting	GluonTS	AISTATS 2022
probability	Electricity <br> Traffic <br> M4	MQF	Multivariate Quantile Function Forecaster	GluonTS	AISTATS 2022
probability	Electricity <br> Traffic <br> Wiki <br> Azure	C2FAR	C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting	Future	AISTATS 2022
Imputation & <br> Probabilistic	PhysioNet <br> Air Quality	CSDI	CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation	Pytorch <br> <br>	NeurIPS 2021
probability	MIMIC-III <br> EEG <br> COVID-19	CF-RNN	Conformal Time-series Forecasting	Pytorch <br> <br>	NeurIPS 2021
probability	CDC Flu	EPIFNP	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting	Pytorch <br> <br>	NeurIPS 2021
probability	Basketball <br> Weather	GLIM	Probability Paths and the Structure of Predictions over Time	R	NeurIPS 2021
probability	Facebook <br> Meps <br> Star <br> Bike ,etc	LSF	Probabilistic Forecasting: A Level-Set Approach	GluonTS	NeurIPS 2021
probability	Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia	ProTran	Probabilistic Transformer For Time Series Analysis	None	NeurIPS 2021
Prediction <br> Intervals	Solar <br> Wind	EnbPI	Conformal prediction interval for dynamic time-series	Pytorch <br> <br>	ICML 2021
probability	Exchange <br> Solar <br> Electricity <br> Traffic <br> Taxi <br> Wiki	TimeGrad	Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	Pytorch <br> <br>	ICML 2021
probability & Point	PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> Electricity <br> Traffic , etc	AGCGRU	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting	TF <br> <br>	ICML 2021
probability	Tourism <br> Labour <br> Traffic <br> Wiki <br> Electricity <br> Traffic , etc	Hier-E2E	End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series	MXNet	ICML 2021
probability	Sine <br> MNIST <br> Billiards <br> S&P <br> Stock	Whittle	Whittle Networks: A Deep Likelihood Model for Time Series	TF <br> <br>	ICML 2021
probability	METR-LA <br> PEMS-BAY <br> PMU	GTS	Discrete Graph Structure Learning for Forecasting Multiple Time Series	Pytorch <br> <br>	ICLR 2021
probability & Point	Exchange <br>Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia	MAF	Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows	Pytorch <br> <br>	ICLR 2021
probability	MNIST <br> PhysioNet2012	PNCNN	Probabilistic Numeric Convolutional Neural Networks	None	ICLR 2021
probability & Point	Energy <br> Wine <br> Power <br> MSD, etc	PGBM	Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression	Pytorch <br> <br>	KDD 2021
probability	DiDICD	TrajNet	TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction	None	KDD 2021
probability	Air Quality <br> METR-LA <br> COVID-19	UQ	Quantifying Uncertainty in Deep Spatiotemporal Forecasting	Pytorch <br> <br>	KDD 2021
probability	Electricity <br> Traffic <br> Environment <br> Air Quality <br> Dewpoint,etc	VSMHN	Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting	Pytorch <br> <br>	AAAI 2021
probability & Point	Traffic <br> Electricity <br> Wiki <br> Solar <br> Taxi	TLAE	Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting	None	AAAI 2021
probability	Patient EHR <br> Public Health	UNITE	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data	Pytorch <br> <br>	WWW 2021
probability	Exchange <br> Solar <br> Electricity <br> Traffic <br> Wiki	ARSGLS	Deep Rao-Blackwellised Particle Filters for Time Series Forecasting	None	NeurIPS 2020
probability	Electricity <br> Traffic <br> Wind <br> Solar <br> M4	AST	Adversarial Sparse Transformer for Time Series Forecasting	Pytorch <br> <br>	NeurIPS 2020
probability	Traffic <br> Electricity	STRIPE	Probabilistic Time Series Forecasting with Shape and Temporal Diversity	Pytorch <br> <br>	NeurIPS 2020
probability	Exchange <br> Solar <br> Electricity <br> Wiki <br> Traffic	NKF	Normalizing Kalman Filters for Multivariate Time Series Analysis	None	NeurIPS 2020
quantile	MIMIC-III	BJRNN	Frequentist Uncertainty in RNNs via Blockwise Influence Functions	Pytorch <br> <br>	ICML 2020
probability	S&P 500 <br> Electricity	Monte-Carlo	Adversarial Attacks on Probabilistic Autoregressive Forecasting Models	Pytorch <br> <br>	ICML 2020
probability	Boston <br> Concrete <br>Energy <br> Kin8nm <br> Naval, etc	NGBoost	NGBoost: Natural Gradient Boosting for Probabilistic Prediction	Python <br> <br>	ICML 2020
probability	Physionet <br> NHIS	DME	Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare	Pytorch <br> <br>	AAAI 2020
probability	Exchange <br> Solar <br> Electricity <br> Traffic <br> NYCTaxi <br> Wikipedia	copula	High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes	GluonTS	NeurIPS 2019
probability	Electricity <br> Traffic <br> NYCTaxi <br> Uber	DF	Deep Factors for Forecasting	None	ICML 2019
probability	Weather	DUQ	Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting	Keras <br> <br>	KDD 2019
probability	JD50K	framework	Multi-Horizon Time Series Forecasting with Temporal Attention Learning	None	KDD 2019
probability	MIMIC-III	TPF	Temporal Probabilistic Profiles for Sepsis Prediction in the ICU	None	KDD 2019
probability	Electricity <br> Traffic <br> Wiki <br> Dom	SQF	Probabilistic Forecasting with Spline Quantile Function RNNs	None	AISTATS 2019
probability	More	More	https://github.com/zzw-zwzhang/Awesome-of-Time-Series-Prediction	More

Time Series Imputation

Task	Data	Model	Paper	Code	Publication
Paper Nums: 30+	<img width=150/>	<img width=220/>			<img width=300/>
Imputation	AirQuality <br> Stocks <br> Electricity <br> Energy	CTA	Continuous-time Autoencoders for Regular and Irregular Time Series Imputation	Pytorch <br> <br>	WSDM 2024
Imputation	PM2.5 <br> PhysioNet	CSBI	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation	Pytorch <br> <br>	ICML 2023
Imputation	MIMIC-III <br> PhysioNet	MNAR	Probabilistic Imputation for Time-series Classification with Missing Data	TF <br> <br>	ICML 2023
Imputation	Guangzhou <br> Solar-energy<br> Westminster	TIDER <br>(EncDec,AR)	Multivariate Time-series Imputation with Disentangled Temporal Representations	Pytorch	ICLR 2023
Imputation	COVID-19 <br> AQ36 <br> PeMS-BA <br> PeMS-LA <br> PeMS-SD	PoGeVon	Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders	Author	KDD 2023
Imputation	PhysioNet <br> Human Activity	Warpformer	Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series	Pytorch <br> <br>	KDD 2023
Imputation	Air Quality <br> METR-LA<br> PEMS-BAY	PriSTI	PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation	Pytorch <br> <br>	ICDE 2023
Imputation	PhysioNet12 <br> PhysioNet19 <br> MIMIC-III	DA-TASWDM	Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation	None	CIKM 2023
Imputation	TEDDY <br> CAMELS	TSEst	Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate	Pytorch <br> <br>	SDM 2023
Imputation	Air Quality <br> METR-LA <br> PEMS-BAY <br> CER-E	GRIN <br>(EncDec,AR)	Filling the G_ap_s-Multivariate Time Series Imputation by Graph Neural Networks	Pytorch <br> <br>	ICLR 2022
Imputation	PhysioNet <br> MIMIC-III <br> Climate	HeTVAE <br>(Attn,VAE)	Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series	Pytorch <br> <br>	ICLR 2022
Imputation	MIMIC-III <br> OPHTHALMIC <br> MNIST Physionet <br>	GIL <br>(AR,Attn, <br> GRADIENT LEARNING)	Gradient Importance Learning for Incomplete Observations	TF <br> <br>	ICLR 2022
Imputation	Chlorine level <br> SML2010 <br> Air Quality	D-NLMC	Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation	Matlab <br> Author <br> Github	AAAI 2022
Imputation	COMPAS <br> Adult <br> HSLS	ME	Online Missing Value Imputation and Change Point Detection with the Gaussian Copula	gcimpute	AAAI 2022
Imputation	Fair MIP Forest		Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values	None	AAAI 2022
Imputation	Chengdu <br> New York	STCPA	Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training	Pytorch <br> <br>	CIKM 2022
Imputation	Nanjingyby <br> PEMS08	AST-CMCN	Generative-Free Urban Flow Imputation	SenzhangWang	CIKM 2022
Imputation	Foursquare <br> Gowalla	MDI-MG	Multi-task Generative Adversarial Network for Missing Mobility Data Imputation	None	CIKM 2022
Imputation	Self-defined	MACRO	Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation	Pytorch <br> <br>	ICDM 2022
Imputation	Physionet <br> MIMIC-III <br> Human Activity	mTAND	Multi-Time Attention Networks for Irregularly Sampled Time Series	Pytorch <br> <br>	ICLR 2021
Imputation	METR-LA <br> NREL <br> USHCN <br> SeData	IGNNK	Inductive Graph Neural Networks for Spatiotemporal Kriging	Pytorch <br> <br>	AAAI 2021
Imputation	Activity <br> PhysioNet <br> Air Quality	SSGAN	Generative Semi-supervised Learning for Multivariate Time Series Imputation	Pytorch <br> <br>	AAAI 2021
Imputation & <br> Multivariable	PhysioNet <br> Air Quality	CSDI	CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation	Pytorch <br> <br>	NeurIPS 2021
Imputation & <br> Prediction	VevoMusic <br> WikiTraffic <br> Los-Loop <br> SZ-Taxi	Radflow	Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series	Pytorch <br> <br>	WWW 2021
Imputation	PhysioNet <br> Air Quality <br> Gas Sensor	STING	STING: Self-attention based Time-series Imputation Networks using GAN	None	ICDM 2021
Imputation	Zero <br> MICE <br> SoftImpute <br> GMMC <br> GAIN	SN	Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks	Future	ICLR 2020
Imputation	Beijing Air <br> PhysioNet <br> Porto Taxi <br> London Weather	LGnet	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values	None	AAAI 2020
Imputation	Sydney <br> Melbourne <br> Brisbane <br> Perth, etc	SMV-NMF	A spatial missing value imputation method for multi-view urban statistical data	Matlab	IJCAI 2020
Imputation	PhysioNet <br> Air Quality <br> Wind	GANGRUI	Adversarial Recurrent Time Series Imputation	None	TNNLS 2020
Imputation	Healthcare <br> Climate	GRU-ODE-Bayes	GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series	Pytorch <br> <br>	NeurIPS 2019
Imputation	Toy	LatenODE	Latent Ordinary Differential Equations for Irregularly-Sampled Time Series	Pytorch <br> <br>	NeurIPS 2019
Imputation	Sines <br> Stocks<br> Energy <br> Events	TimeGAN	Time-series Generative Adversarial Networks	TF <br> <br>	NeurIPS 2019
Imputation	MIMIC-III <br> UWaveGesture	Inter-net	Interpolation-Prediction Networks for Irregularly Sampled Time Series	Keras <br> <br>	ICLR 2019
Imputation	PhysioNet <br> KDD2018	E2gan	E2gan: End-to-end generative adversarial network for multivariate time series imputation	TF <br> <br>	IJCAI 2019
Imputation	EC <br> RV	STI	How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation	Pytorch <br> <br>	WWW 2019

Time Series Anomaly Detection

Task	Data	Model	Paper	Code	Publication
Paper Nums: 30+	<img width=90/>				<img width=320/>
Anomaly Detection	Yahoo <br> KPI <br> WSD <br> NAB	FCVAE	Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective	Pytorch <br> <br>	WWW 2024
Anomaly Detection	TODS <br> ASD<br> ECG <br>PSM <br> CompanyA	Dual-TF	Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection	Pytorch <br> <br>	WWW 2024
Anomaly Detection	SMD <br> J-D1 <br> J-D2 <br>SMAP	LARA	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection	None	WWW 2024
Anomaly Detection	SWaT <br> WADI <br> PSM <br> SMD <br> MSL <br> SMAP <br> Crediy <br> Yahoo		When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection	Pytorch <br> <br>	AAAI 2024
Anomaly Detection	SMD <br> MSL <br> SMAP <br> SWaT <br> PSM	MEMTO	MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	No	NIPS 2023
Anomaly Detection	PSM <br> SMD <br> SWaT	D3R	Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection	Pytorch <br> <br>	NIPS 2023
Anomaly Detection	SWaT <br> WADI <br> PSM <br> MSL <br> SMD <br> trimSyn	Framework	Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction	Pytorch <br> <br>	NIPS 2023
Anomaly Detection	SMD <br> MSL <br> SMAP <br> PSM <br> DND	PUAD	Prototype-oriented unsupervised anomaly detection for multivariate time series	Pytorch <br> <br>	ICML 2023
Anomaly Detection	UCR <br>SMD	surrogate	Unsupervised Model Selection for Time Series Anomaly Detection	Author	ICLR 2023
Anomaly Detection	MSL <br> SMAP <br> PSM <br> SMD	DCdetector	DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection	Pytorch <br> <br>	KDD 2023
Anomaly Detection	MSL <br> SWaT <br> WADI	PoA	Precursor-of-Anomaly Detection for Irregular Time Series	Pytorch <br> <br>	KDD 2023
Anomaly Detection	MSL <br> SWaT <br> PSM <br> SMAP <br> SMD	DiffAD	Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models	Pytorch <br> <br>	KDD 2023
Anomaly Detection	SMD <br> SMAP <br> MSL <br> SWaT	DAEMON	Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation	Pytorch <br> <br>	AAAI 2023
Anomaly Detection	SWaT <br> WADI <br> PSM <br> MSL <br> SMD	MTGFlow	Detecting Multivariate Time Series Anomalies with Zero Known Label	Pytorch <br> <br>	AAAI 2023
Anomaly Detection	SWaT <br> WADI SMAP <br> MSL	DuoGAT	DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series	Pytorch <br> <br>	CIKM 2023
Anomaly Detection	SWaT <br> SMAP <br> MSL <br> PSM <br> SMD	MadSGM	MadSGM: Multivariate Anomaly Detection with Score-based Generative Models	None	CIKM 2023
Anomaly Detection	SMD <br> Boiler	ContexTDA	Context-aware Domain Adaptation for Time Series Anomaly Detection	None	SDM 2023
Anomaly Detection	AIOps <br> UCR	COCA	Deep Contrastive One-Class Time Series Anomaly Detection	Merlion,Tsaug <br> <br>	SDM 2023
Anomaly Detection	DND <br> SMD <br> MSL <br> SMAP	DVGCRN	Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection	Future	ICML 2022
Anomaly Detection	YelpChi <br> Amazon <br> T-Finance <br> T-Social	BWGNN	Rethinking Graph Neural Networks for Anomaly Detection	Pytorch <br> <br>	ICML 2022
Anomaly Detection	SMD <br> PSM <br> MSL&SMAP <br> SWaT <br> NeurIPS-TS	Anomaly Transformer	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy	Pytorch <br> <br>	ICLR 2022
Density Estimation & Anomaly Detection	PMU-B <br> PMU-C <br> SWaT <br> METR-LA	GANF	Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series	Pytorch <br> <br>	ICLR 2022
Anomaly Detection			Anomaly Detection for Tabular Data with Internal Contrastive Learning	None	ICLR 2022
Anomaly Detection	Machine-Temp <br> NYCTaxi <br> Twitter <br> SWaT	algorithmic	Local Evaluation of Time Series Anomaly Detection Algorithms	Python <br> <br>	KDD 2022
Anomaly Detection	SWaT <br> WADI <br> HAI	FuSAGNet	Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series	Pytorch <br> <br>	KDD 2022
Anomaly Detection	Slef-defined	RCAD	RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks	Pytorch <br> <br>	KDD 2022
Anomaly Detection		AnomalyKiTS	AnomalyKiTS-Anomaly Detection Toolkit for Time Series	None	AAAI 2022
Anomaly Detection	SWaT <br> WADI <br> MSL <br> SMAP <br> SMD	PA	Towards a Rigorous Evaluation of Time-Series Anomaly Detection	None	AAAI 2022
Anomaly Detection	YAHOO <br> SMAP <br> MSL <br> PSM	NCAD	Neural Contextual Anomaly Detection for Time Series	Future	IJCAI 2022
Anomaly Detection	SWaT <br> WADI <br> SMD <br> PSM	GRELEN	GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning	None	IJCAI 2022
Anomaly Detection	MSL <br> SMAP <br> MNIST <br> ,etc	CADET	CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias	Future	IJCAI 2022
Anomaly Detection	ECG <br> HAR <br> MNIST		Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach	None	IJCAI 2022
Anomaly Detection	Business	SLA-VAE	A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems	None	WWW 2022
Anomaly Detection	KDDCUP99 <br> NSL <br> UNSW, etc	MemStream	MemStream: Memory-Based Streaming Anomaly Detection	Pytorch	<br> <br> WWW 2022
Anomaly Detection	GD <br> HSS <br> ECG <br> NAB <br> Yahoo S5 <br> 2D <br> SYN	RDAE	Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection	Author	ICDE 2022
Anomaly Detection	GD <br> HSS <br> ECG <br> TD <br> Yahoo S5	BiVQRAEs	Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders	Pytorch <br> <br>	ICDE 2022
Anomaly Detection	SWaT <br> WADI <br> BATADAL	MAD-SGCN	MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks	None	ICDE 2022
Anomaly Detection	NAB <br> UCR <br> MBA <br> SMAP <br> MSL <br> SWaT <br> WADI <br> SMD <br> MSDS	TranAD	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	Pytorch <br> <br>	VLDB 2022
Anomaly Detection	KPI <br> Yahoo <br> SMAP <br> MSL	TFAD	TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis	Pytorch <br> <br>	CIKM 2022
Anomaly Detection	SMAP <br> MSL <br> SMD <br> KARI <br> Synthetic	Attack	Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability	Pytorch <br> <br>	CIKM 2022
Anomaly Detection	Cora <br> Citeseer <br> PubMed <br> Flickr <br> ogbn-arxiv	LHML	Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks	Pytorch <br> <br>	CIKM 2022
Anomaly Detection	RT <br> NetSpd	RobustDTW	Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection	None	CIKM 2022
Anomaly Detection	CIFAR-1 <br> CIFAR-10 <br> Caltech 10	SLA2	Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection	Pytorch <br> <br>	CIKM 2022
Anomaly Detection	SMD	FDRC	Online false discovery rate control for anomaly detection in time series	Nçone	NeurIPS 2021
Anomaly Detection	SWaT <br> WADI <br> SMD <br> ASD	InterFusion	Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding	TF <br> <br>	KDD 2021
Anomaly Detection	SMD <br> SWaT <br> PSM <br> BKPI	RANSynCoders	Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization	TF <br> <br>	KDD 2021
Anomaly Detection	PUMP <br> WADI <br> SWaT	NSIBF	Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering	TF <br> <br>	KDD 2021
Anomaly Detection	SWaT <br> WADI	GDN	Graph Neural Network-Based Anomaly Detection in Multivariate Time Series	Pytorch <br> <br>	AAAI 2021
Anomaly Detection	SMD <br> SMAP <br> MSL <br> SWaT	DAEMON	DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series	Future	ICDE 2021
Anomaly Detection	KPI <br> Yahoo	FluxEV	FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection	Py	WSDM 2021
Anomaly Detection	DataLink	Benchmark	Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress	None	TKDE 2021
Earthquakes Detection	NIED	CrowdQuake	A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning	TF <br> <br>	KDD 2020
Anomaly Detection	SWaT <br> WADI <br> SMD <br> SMAP <br> MSL <br> Orange	USAD	USAD: UnSupervised Anomaly Detection on Multivariate Time Series	Pytorch <br> <br>	KDD 2020
Anomaly Detection	NYC	CHAT	Cross-interaction hierarchical attention networks for urban anomaly prediction	None	IJCAI 2020
Anomaly Detection	NYC-Bike <br> NYC-Taxi <br> Weather <br> NYC-POI <br> NYC-Anomaly	DST-MFN	Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection	None	CIKM 2020
Anomaly Detection	SMAP <br> MSL <br> TSA	MTAD-GAT	Multivariate Time-Series Anomaly Detection via Graph Attention Network	TF <br> <br> Pytorch	ICDM 2020
Anomaly Detection	SMAP <br> MSL <br> SMD	OmniAnomaly	Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network	TF <br> <br>	KDD 2019
Anomaly Detection	GeoLife <br> TST	IRL-ADU	Sequential Anomaly Detection using Inverse Reinforcement Learning	None	KDD 2019
Anomaly Detection	donors <br> census <br> fraud <br> celeba ,etc	DevNet	Deep Anomaly Detection with Deviation Networks	Keras <br> <br> Pytorch	KDD 2019
Anomaly Detection	KPI <br> Yahoo <br> Microsoft	SR-CNN	Time-Series Anomaly Detection Service at Microsoft	None	KDD 2019
Anomaly Detection	power plant	MSCRED	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data	TF <br> <br>	AAAI 2019
Anomaly Detection	ECG <br> Motion	BeatGAN	BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series	Pytorch <br> <br>	IJCAI 2019
Anomaly Detection	NAB <br> ECG	OED	Outlier Detection for Time Series with Recurrent Autoencoder Ensembles	TF <br> <br>	IJCAI 2019
Anomaly Detection	KPIs	Buzz	Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE	TF <br> <br>	INFOCOM 2019
Anomaly Detection	KDDCUP <br> Thyroid <br> Arrhythmia <br> KDDCUP-Rev	DAGMM	Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection	Pytorch <br> <br>	ICLR 2018
Anomaly Detection	SMAP <br> MSL	telemanom	Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding	TF <br> <br>	KDD 2018
Anomaly Detection	AD <br> AID362 <br> aPascal <br> BM , etc	CINFO	Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data	Matlab	AAAI 2018
Anomaly Detection	KPIs	Donut	Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications	TF <br> <br>	WWW 2018
Anomaly Detection	MAWI	DSPOT	Anomaly Detection in Streams with Extreme Value Theory	Python <br> <br>	KDD 2017
Anomaly Detection	Power <br> Space <br> Engine <br> ECG	EncDec-AD	LSTM-based encoder-decoder for multi-sensor anomaly detection	Pytorch	ICML 2016
Anomaly Detection	MORE	MORE	https://github.com/ZIYU-DEEP/IJCAI-Paper-List-of-Anomaly-Detection	MORE	IJCAI
Anomaly Detection	MORE	MORE	DeepTimeSeriesModel	MORE	MORE
Anomaly Detection	MORE	MORE	GuansongPang	MORE	MORE

Demand Prediction

Task	Data	Model	Paper	Code	Publication
Paper Nums: 30+	<img width=150/>	<img width=220/>			<img width=300/>
Travel <br> Demand	CDP <br> SLD	STTD	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction	Pytorch <br> <br>	CIKM 2023
Travel <br> Demand	NYC Bike <br> NYC Taxi	AGND	Adaptive Graph Neural Diffusion for Traffic Demand Forecasting	None	CIKM 2023
Traffic Demand	BJSubway <br> NYCTaxi	CMOD	Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction	Pytorch <br> <br>	KDD 2022
Job Demand	IT <br> FIN <br> CONS	DH-GEM	Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning	Pytorch <br> <br>	KDD 2022
Supply & <br> Demand	JONAS-NYC <br> JONAS-DC <br> COVID-CHI <br> COVID-US	EAST-Net	Event-Aware Multimodal Mobility Nowcasting	Pytorch <br> <br>	AAAI 2022
Health Demand	Family Van	framework	Using Public Data to Predict Demand for Mobile Health Clinics	None	AAAI 2022
Traffic Demand	BJMetro <br> NYCTaxi	HMOD	Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction	Pytorch <br> <br>	IJCAI 2022
Traffic Demand	Chicago <br> LosAngeles	STGNN-DJD	A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction	Pytorch <br> <br>	ICDE 2022
OD Demand	Shanghai <br> Changsha <br> Beijing	CausalOD	Causal Learning Empowered OD Prediction for Urban Planning	Pytorch <br> <br>	CIKM 2022
OD Demand	NYC Taxi <br> Haikou <br> SZMetro	HSTN	Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network	TF <br> <br>	ICDM 2022
Traffic Demand	NYC Bike <br> NYC Taxi	CCRNN	Coupled Layer-wise Graph Convolution for Transportation Demand Prediction	Pytorch <br> <br>	AAAI 2021
Traffic Demand	BaiduBJ <br> BaiduSH	Ada-MSTNet	Community-Aware Multi-Task Transportation Demand Prediction	None	AAAI 2021
Job Demand	Online	TDAN	Talent Demand Forecasting with Attentive Neural Sequential Model	None	KDD 2021
Ambulance Demand	Tokyo	EMS-Pred	Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks	Pytorch <br> <br>	ICDE 2021
Passenger Demand	TaxiNYC	SOUP	SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply	None	ICDE 2021
Passenger Demand	DiDiBJ <br> DiDiSH	Gallat	Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction	None	ICDE 2021
Traffic Demand <br> Traffic Flow	Chengdu <br> Xian	DeepTP	An Effective Joint Prediction Model for Travel Demands and Traffic Flows	None	ICDE 2021
Traffic Demand	DiDiCD <br> NYCTaxi	DAGNN	Dynamic Auto-structuring Graph Neural Network-A Joint Learning Framework for Origin-Destination Demand Prediction	None	TKDE 2021
Traffic Demand	TaxiNYC <br> CitiBikeNYC	MultiAttConvLSTM	Multi-level attention networks for multi-step citywide passenger demands prediction	None	TKDE 2021
Market Demand	Juhuasuan <br> Tiantiantemai	RMLDP	Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records	None	WSDM 2021
Metro Demand	MetroBJ2016 <br> MetroBJ2018	CAS	Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method	None	Transportation Research Part C 2021
Metro Demand	MetroBJ2016 <br> MetroBJ2018	ST-ED	Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network	None	Transportation Research Part C 2021
Traffic Demand	Seattlebike	FairST	Fairness-Aware Demand Prediction for New Mobility	None	AAAI 2020
Drug Demand	Wikipedia	None	Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets	None	WWW 2020
Traffic Demand	DiDiBJ <br> DiDiSH	MPGCN	Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network	Pytorch <br> <br>	ICDE 2020
Traffic Demand	NYC <br> DiDiCD	MPGCN	Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks	TF <br> <br>	ICDE 2020
Traffic Demand	Bengaluru <br> NYC	GraphLSTM	Grids Versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts	Pytorch <br> <br>	TITS 2020
Traffic Demand	NYCbike <br> NYCtaxi	CoST-Net	Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network	None	KDD 2019
Traffic Demand	UCAR <br> DiDiCD	GEML	Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling	Keras <br> <br>	KDD 2019
Traffic Demand	NYCbike <br> Meso West	CE-LSTM	Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction	None	AAAI 2019
Traffic Demand	Beijing <br> Shanghai	STMGCN	Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting	Pytorch <br> <br>	AAAI 2019
Traffic Demand	NYC-TOD	CSTN	Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction	Keras <br> <br>	TITS 2019
Traffic Demand	NYCtaxi	MultiConvLSTM	Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions	None	TITS 2019
Traffic Demand	PEMS	t-SNE	Estimating multi-year origin-destination demand using high-granular multi-source traffic data	None	Transportation Research Part C 2018

Time Series Generation

Task	Data	Model	Paper	Code	Publication
Paper Nums: 6	<img width=90/>				<img width=320/>
TS Generation	Sines <br> Stocks <br> ETTh <br> MuJoCo <br> Energy <br> Solar <br> fMRI	Diffusion-TS	Diffusion-TS: Interpretable Diffusion for General Time Series Generation	Pytorch <br> <br>	ICLR 2024
TS Generation	FRED-MD <br> NN5 Daily <br> Temp Rain <br> Solar Weekly	LS4	Deep Latent State Space Models for Time-Series Generation	Pytorch <br> <br>	ICML 2023
TS Generation	He ́non maps <br> Lorenz <br> fMRI <br> EEG	CR-VAE	Causal Recurrent Variational Autoencoder for Medical Time Series Generation	Pytorch <br> <br>	AAAI 2023
TS Generation	ETTh1 <br> ETTh2 <br> US Births <br> ILI	AEC-GAN	AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation	Pytorch <br> <br>	AAAI 2023
TS Generation	UCR	TimeVQVAE	Vector Quantized Time Series Generation with a Bidirectional Prior Model	Pytorch <br> <br>	AISTATS 2023
TS Generation	USHCN <br> KDD-CUP <br> MIMIC-III	DGM	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	Pytorch <br> <br>	AAAI 2021

Travel Time Estimation

Task	Data	Model	Paper	Code	Publication
Paper Nums:20+	<img width=150/>	<img width=220/>			<img width=300/>
Package Delivery <br> TTE	Cainiao	GMDNet	GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution	Pytorch <br> <br>	AAAI 2023
Delivery <br> Time Estimation	Weihai <br> Hangzhou	IGT	Inductive Graph Transformer for Delivery Time Estimation	Pytorch <br> <br>	WSDM 2023
Delivery <br> Time Estimation	JD and Amazon	STTD	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction	Pytorch <br> <br>	CIKM 2023
TTE	Jinan City <br> Nanjing City	GBTTE	GBTTE: Graph Attention Network Based Bus Travel Time Estimation	None	CIKM 2023
TTE	Beijing <br> Guangzhou	HierETA	Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival	Pytorch <br> <br>	KDD 2022
TTE	Beijing <br> Porto	MetaER-TTE	MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation	None	IJCAI 2022
TTE	Beijing <br> Shanghai <br> Tianjin	DuETA	DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps	None	CIKM 2022
TTE	Baidu:<br> Taiyuan <br> Huizhou <br> Hefei	SSML	SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps	Paddle	KDD 2021
TTE	DiDi: <br> Shenyang	HetETA	HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival	TF <br> <br>	KDD 2020
TTE	DiDi: <br> Beijing <br> Suzhou <br> Shenyang	CompactETA	CompactETA: A Fast Inference System for Travel Time Prediction	None	KDD 2020
TTE	GTFS	BusTr	BusTr: Predicting Bus Travel Times from Real-Time Traffic	None	KDD 2020
TTE	Taiyuan <br> Hefei <br> Huizhou <br> （Baidu）	BusTr	ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps	None	KDD 2020
TTE	NYC <br> IST <br> TKY	DeepJMT	Context-aware Deep Model for Joint Mobility and Time Prediction	None	WSDM 2020
TTE	Beijing <br> Shanghai	TTPNet	TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding	Pytorch <br> <br>	TKDE 2020
TTE	DiDiBJ	RNML-ETA	Road Network Metric Learning for Estimated Time of Arrival	None	ICPR 2020
TTE	Cainiao	DeepETA	DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System	None	AAAI 2019
TTE	Beijing <br> Shanghai	CTTE	Aggressive driving saves more time? Multi-task learning for customized travel time estimation	None	IJCAI 2019
TTE	Shanghai <br> Porto	DeepI2T	Travel time estimation without road networks: an urban morphological layout representation approach	None	IJCAI 2019
TTE	Porto <br> Chengdu	DeepIST	DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation	TF <br> <br>	CIKM 2019
TTE	Singapore	AtHy-TNet	Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network	None	CIKM 2019
TTE	BT-Traffic <br> PEMS07 <br> Q-traffic	NASF	Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation	None	CIKM 2019
TTE	Chengdu <br> Beijing	DeepTTE	When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks	Pytorch <br> <br>	AAAI 2018
TTE	PORTO <br>SANFRANCISCO	NoisyOR	Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads	None	AAAI 2018
TTE	MORE	MORE	github	MORE	MORE

Traffic Location Prediction

Task	Data	Model	Paper	Code	Publication
Paper Nums:20	<img width=150/>	<img width=220/>			<img width=310/>
Location	ETH+UCY <br> SDD <br> nuScenes <br> SportVU		You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction	None	ICLR 2022
Location	Beijing <br> Porto	MetaPTP	MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction	Kai Zheng Code-None	KDD 2022
Location	BaiduApollo <br> NGSIM	HeGA	HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic	Pytorch <br> <br>	CIKM 2022
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	SGTN	Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios	Pytorch <br> <br>	CIKM 2022
Location	Gowalla <br> Foursquare <br> WiFi-Trace	GCDAN	Predicting Human Mobility via Graph Convolutional Dual-attentive Networks	Pytorch <br> <br>	WSDM 2022
Location	MI <br> SIP	CMT-Net	CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction	None	WSDM 2022
Location	Gowalla <br> FS-NYC <br> FS-TKY	MobTCast	MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction	Author	NeurIPS 2021
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	CARPe	CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction	Pytorch <br> <br>	AAAI 2021
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	TPNMS	Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision	Pytorch <br> <br>	AAAI 2021
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	DMRGCN	Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction	Pytorch <br> <br>	AAAI 2021
Location	Gowalla <br> Foursquare	BSDA	Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association	None	IJCAI 2021
Location	ETH-UCY <br> Collisions <br> NGsim <br>Charges <br> NBA	FQA	Multi-agent Trajectory Prediction with Fuzzy Query Attention	Pytorch <br> <br>	NeurIPS 2020
Location	ETH-UCY <br> Collisions <br> NGsim <br>Charges <br> NBA	ARNN	An Attentional Recurrent Neural Network for Personalized Next Location Recommendation	None	AAAI 2020
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	MDNLSTM	Multimodal Interaction-Aware Trajectory Prediction in Crowded Space	None	AAAI 2020
Location	Atlantic	OMuLeT	OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting	Matlab	AAAI 2020
Location	Gowalla <br> Foursquare	Flashback	OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting	Pytorch <br> <br>	IJCAI 2020
Location	CrowdCJ <br> TrashBins <br>B&B <br> MYOPIC	MALMCS	Dynamic Public Resource Allocation Based on Human Mobility Prediction	Python <br> <br>	UbiComp 2020
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	Social-BiGAT	Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks	None	NeurIPS 2019
Location	Foursquare <br> Gowalla	VANext	Predicting Human Mobility via Variational Attention	None	WWW 2019
Location	Flickr <br> Foursquare <br> Geolife	CATHI	Context-aware Variational Trajectory Encoding and Human Mobility Inference	None	WWW 2019
Location	ETH <br> Hotel <br> Univ <br> Zara1 <br> Zara2	STGAT	STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction	Pytorch <br> <br>	ICCV 2019
Location	BaiduBJ	HST-LSTM	HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction	Pytorch <br> <br>	IJCAI 2018
Location	Foursquare <br> MobileAPP <br> CellularSH	DeepMove	DeepMove: Predicting Human Mobility with Attentional Recurrent Networks	Pytorch <br> <br>	WWW 2018
Location	MORE	MORE	github	Hao Xue	MORE
Location	MORE	MORE	https://github.com/Pursueee/Trajectory-Paper-Collation	Pytorch <br> <br>	MORE

Event Prediction

Task	Data	Model	Paper	Code	Publication
Paper Nums:21	<img width=150/>	<img width=220/>			<img width=300/>
Event	ETT <br> PM2.5 <br> IndD	NsTKA	Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction	Future	KDD 2022
Crime Prediction	Chicago Crime<br> LA Crime<br>	HAGEN	HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting	Pytorch <br> <br>	AAAI 2022
Event	PEMS	AGWN	Early Forecast of Traffc Accident Impact Based on a Single-Snapshot Observation (Student Abstract)	Pytorch <br> <br>	AAAI 2022
Event	SLA-VAE <br> E-commerce	RETE	RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph	Pytorch <br> <br>	WWW 2022
Event	NYC <br> Chicago	GSNet	GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting	Pytorch <br> <br>	AAAI 2021
Event	NYCIncidents <br> CHIIncidents <br> SFIncidents	STCGNN	Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction	Pytorch <br> <br>	CIKM 2021
Event	Thailand <br> Egypt <br> India <br>Russia <br> Covid-19	CMF	Understanding Event Predictions via Contextualized Multilevel Feature Learning	None	CIKM 2021
Event Prediction	DJIA30 <br> WebTraffic <br> NetFlow <br> ClockErr <br> AbServe	EvoNet	Time-Series Event Prediction with Evolutionary State Graph	tf	WSDM 2021
Event	NYCIncidents <br> CHIIncidents <br> SFIncidents	PreView	Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction	None	KDD 2020
Event Prediction	MIMIC-III	DSSM	Deep State-Space Generative Model For Correlated Time-to-Event Predictions	None	KDD 2020
Event	Beijing <br> Suzhou <br> Shenyang	RiskOracle	RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework	TF <br> <br>	AAAI 2020
Event	NYCIncidents <br> CHIIncidents	STrans	Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting	None	WWW 2020
Event	FewEvent	DMB-PN	Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection	dataset	WSDM 2020
Event	NYC <br> SIP	RiskSeq	Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective	None	TKDE 2020
Event	MemeTracker <br> Weibo	LANTERN	Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling	Pytorch <br> <br>	NeurIPS 2019
Event	Graph <br> Stack <br> SmartHome <br> CarIndicators	WGP-LN, <br> FD-Dir	Uncertainty on Asynchronous Time Event Prediction	TF <br> <br>	NeurIPS 2019
Event	Thailand <br> Egypt <br> India <br>Russia	DynamicGCN	Learning Dynamic Context Graphs for Predicting Social Events	Pytorch <br> <br>	KDD 2019
Event	NYCCollision <br> ChicagoCrime <br> NYCTaxi	DMPP	Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information	None	KDD 2019
Event	Civil <br> Air Quality	SIMDA	Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting	None	AAAI 2019
Crime Prediction	NYC Crime <br> NYC Anomaly <br> Chicago Crime	MiST	MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting	None	WWW 2019
Event	NYCAccident <br> NYCEvent	DFN	Deep Dynamic Fusion Network for Traffic Accident Forecasting	None	CIKM 2019
Event		Hetero-ConvLSTM	Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data	None	KDD 2018

Stock Prediction

Task	Data	Model	Paper	Code	Publication
Paper Nums:30+	<img width=150/>	<img width=220/>			<img width=300/>
Stock Price <br> Prediction	NASDAQ <br> NYSE <br> S&P500	StockMixer	StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting	Pytorch <br> <br>	AAAI 2024
Stock Price <br> Prediction	CSI 300 <br> CSI 800	MASTER	MASTER: Market-Guided Stock Transformer for Stock Price Forecasting	Pytorch <br> <br>	AAAI 2024
Stock Movement <br> Prediction	Qin <br> MAEC	ECHO-GL	ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction	Pytorch <br> <br>	AAAI 2024
Stock Trend <br> Prediction	CSI 300 <br> CSI 500	DoubleAdapt	DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting	Pytorch <br> <br>	KDD 2023
Stock Movement <br> Prediction	ACL18 <br> DJIA	PEN	PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability	TF <br> <br>	AAAI 2023
Stock <br> Prediction	NASDAQ <br> NYSE <br> CSI	RT-GCN	Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction	Pytorch <br> <br>	ICDE 2023
Stock Movement <br> Prediction	S&P 500	ESTIMATE	Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction	Pytorch <br> <br>	WSDM 2023
Stock Price <br> Prediction	ACL18	D-va	Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction	Gluonts <br> <br>	CIKM 2023
Stock Price <br> Prediction	CSI 300 <br> CSI 500 <br> CSI 800	CISP	Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction	None	CIKM 2023
Stock Movement <br> Prediction	Calls	NumHTML	NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting	Future,Author	AAAI 2022
Stock Prediction	NASDAQ <br> NYSE <br> TSE	ALSP-TF	Adaptive Long-Short Pattern Transformer for Stock Investment Selection	None	IJCAI 2022
Stock Prediction	S&P 500 <br> Ashare&HK	HISN	Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation	None	IJCAI 2022
Stock <br> Prediction	S&P500 <br> CSI300 <br> Twitter	THGNN	Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction	None	CIKM 2022
Stock <br> Prediction	CSI800	PASN	Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market	None	CIKM 2022
Stock Movement<br> Prediction	NASDAQ <br> Bitcoin	KHIT	Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction	None	ICDM 2022
Stock Movement<br> Prediction	CSI800	TRA	Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport	Pytorch <br> <br>	KDD 2021
Stock Movement <br> Prediction	ACL18 <br> KDD17 <br> NDX100 <br> CSI300 <br> NI225<br> FTSE100	DTML	Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts	None	KDD 2021
Stock <br> Prediction	Self-defined	AD-GAT	Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks	Pytorch <br> <br>	AAAI 2021
Stock Selection	NASDAQ <br> NYSE <br> TSE	STHAN-SR	Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach	None	AAAI 2021
Stock Movement<br> Prediction	TPX500	CGM	Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling	Pytorch <br> <br>	IJCAI 2021
Stock Trend<br> Prediction	CSI300 <br> SPX <br> TOPIX-100	HATR	Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction	None	IJCAI 2021
Stock Movement<br> Prediction	NASDAQ <br> NYSE <br> TSE <br> China & HK	HyperStockGAT	Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport	None	WWW 2021
Stock Trend<br> Prediction	CSI300 <br> CSI500	REST	REST: Relational Event-driven Stock Trend Forecasting	None	WWW 2021
Stock Trend <br> Prediction	CSI300 <br> CSI800 <br> NASDAQ100	CMLF	Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion	Pytorch <br> <br>	CIKM 2021
Stock Movement <br> Prediction	Self-defined	MFN	Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework	None	AAAI 2020
Stock Movement <br> Prediction	TPX500 <br> TPX100	LSTM-RGCN	Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction	Pytorch <br> <br>	IJCAI 2020
Stock Movement <br> Prediction	NASDAQ <br> ChinaAShare	HMG-TF	Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction	None	IJCAI 2020
Stock Trend<br> Prediction	FI-2010 <br> CSI-2016	MTDNN	Multi-scale Two-way Deep Neural Network for Stock Trend Prediction	Future	IJCAI 2020
Stock Price <br> Forecasting	Self-defined	Dandelion	Domain adaptive multi-modality neural attention network for financial forecasting	Sklearn	WWW 2020
Stock Volatility <br> Forecasting	Calls	HTML	Hierarchical Transformer-based Multi-task Learning for Volatility Prediction	Pytorch <br> <br>	WWW 2020
Quantitative <br> Investments	Self-defined	KGEEF	Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments	None	SIGIR 2020
Stock Price <br> Prediction	TAQ	GARCH-LSTM	Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators	None	CIKM 2020
Stock Movement <br> Prediction	HATS	STHGCN	Spatiotemporal hypergraph convolution network for stock movement forecasting	Pytorch <br> <br>	ICDM 2020
Stock Market <br> Prediction	Nikkei	GNNs	Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis	None	NeurIPSw 2019
Stock Trend <br> Prediction	ChineseStock	IMTR	Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction	None	KDD 2019
Stock Movement <br> Prediction	CSI200 <br> CSI300 <br> CSI500	RNN-MRFs	Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification	None	KDD 2019
Stock Movement <br> Prediction	Self-defined	TTIO	Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding	None	KDD 2019
Stock Movement <br> Prediction	ACL18 <br> KDD17 <br> NDX100 <br> CSI300 <br> NI225<br> FTSE100	Adv-ALSTM	Enhancing stock movement prediction with adversarial training	TF <br> <br>	IJCAI 2019
Stock Prediction	NASDAQ <br> NYSE	RSR	Temporal Relational Ranking for Stock Prediction	TF <br> <br>	TOIS 2019
Stock Movement <br> Prediction	Self-defined	StockNet	Stock Movement Prediction from Tweets and Historical Prices	TF <br> <br>	ACL 2018
Stock Trend <br> Prediction	Self-defined	HAN	Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction	TF <br> <br>	WSDM 2018
Stock Price <br> Prediction	Self-defined	SFM	Stock Price Prediction via Discovering Multi-Frequency Trading Patterns	Keras <br> <br>	KDD 2017
Stock Movement <br> Prediction	NASDAQ <br> NYSE	KGEB-CNN	Knowledge-Driven Event Embedding for Stock Prediction	None	COLING 2016

Other Forecasting

Task	Data	Model	Paper	Code	Publication
Paper Nums:40+	<img width=150/>	<img width=220/>			<img width=300/>
Water Temperature <br> Prediction	Delaware <br> River Basin	SR-MTL	Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction	None	CIKM 2023
Telecommunication <br> Traffic <br> Forecasting	Milan (MI) <br> Trentino (TN)	TMLM	Telecommunication Traffic Forecasting via Multi-task Learning	Author	WSDM 2022
Bitcoin <br> Volatility <br> Forecasting	Twitter	D-TCN	Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data	TF <br> <br>	WSDM 2022
Rating <br> Migration <br> Prediction	Self	META	Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction	None	KDD 2022
COVID-19 <br> Prediction	TokyoCOVID19	SAB-GNN	Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data	Pytorch <br> <br>	KDD 2022
Service <br> Time <br> Prediction	DowBJ <br> SubBJ	MetaSTP	Service Time Prediction for Delivery Tasks via Spatial Meta-Learning	None	KDD 2022
Physician <br> Burnout <br> Prediction	EHR <br> Burnout	HiPAL	HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records	TF <br> <br>	KDD 2022
Crop Yield Prediction	American Crop	GNN-RNN	A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction	None	AAAI 2022
Epidemic Prediction	Globe <br> US-State <br> US-County	CausalGNN	CausalGNN: Causal-based Graph Neural Networks for Spatio-Temporal	Future	AAAI 2022
Soil Moisture <br> Forecasting	Spain <br> USA	DGLR	Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture	Pytorch <br> <br>	IJCAI 2022
Disease Prediction	Disease <br> Tumors	PopNet	PopNet: Real-Time Population-Level Disease Prediction with Data Latency	Pytorch <br> <br>	WWW 2022
FakeNews Detection	Snop <br> PolitiFact	GET	Evidence-aware Fake News Detection with Graph Neural Networks	Keras <br> <br>	WWW 2022
Crime Prediction	NYC <br> Chicago	ST-HSL	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction	Pytorch <br> <br>	ICDE 2022
Popularity <br> Prediction	WbTopic <br> WbRepost <br> Twitter	HERI-GCN	Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN	Pytorch <br> <br>	ICDE 2022
Parking Pricing	SFMTA <br> SDOT	None	Prediction-based One-shot Dynamic Parking Pricing	None	CIKM 2022
Future Citation	APS <br> AMiner	DGNI	Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction	None	CIKM 2022
Pandemic Forecasting	Large-MG	HiSTGNN	Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting	None	CIKM 2022
Search Traffic <br> Forecasting	M5 <br> FGSF <br> SQTE	STARDOM	STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction	None	CIKM 2022
Crime Prediction	NYC <br> Chicago	LTFMs	Locality Aware Temporal FMs for Crime Prediction	None	CIKM 2022
Energy Markets	Nordpool	None	A Graph-based Spatiotemporal Model for Energy Markets	None	CIKM 2022
Denoised Health <br> Risk Prediction	EHR	MedSkim	MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data	Pytorch <br> <br>	ICDM 2022
Demand <br> Prediction	E-Commerce <br> M5	Forchestra	A Large-Scale Ensemble Learning Framework for Demand Forecasting	Pytorch <br> <br>	ICDM 2022
Transfer <br> Traffic Flow <br> Prediction	ShanghaiBIKE <br> NanjingBus <br> HaikouDiDi	CCMHC	Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction	Pytorch <br> <br>	ICDM 2022
Precipitation <br> Nowcasting	ERA5 <br> WeatherBench	SCC-ConvLSTM	Spatiotemporal Contextual Consistency Network for Precipitation Nowcasting	Future	ICDM 2022
Transfer <br> Traffic Flow <br> Prediction	Shenzhen <br> HB <br> Chengdu <br> Xian	Mest-GAN	Mest-GAN: Cross-City Urban Traffic Estimation with Meta Spatial-Temporal Generative Adversarial Networks	None	ICDM 2022
Transfer <br> Human Mobility <br> Prediction	Houston <br> Iowa City	STORM-GAN	STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19	Pytorch <br> <br>	ICDM 2022
Transfer <br> Traffic Flow <br> Prediction	Shenzhen <br> HB <br> Chengdu <br> Xian	STrans-GAN	STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation	None	ICDM 2022
Churn Prediction	Beidian <br> Epinions	CFChurn	A Counterfactual Modeling Framework for Churn Prediction	Pytorch <br> <br>	WSDM 2022
Streaming <br> Traffic Flow	PEMS03	TrafficStream	TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning	Pytorch <br> <br>	IJCAI 2021
Crime <br> Prediction	NYC <br> Chicago	ST-SHN	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning	TF <br> <br>	IJCAI 2021
Purchase Intent Forecasting	JD-e-commerce	CHTR	Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks	None	ICDE 2021
Popularity Prediction	Tmall	ATNN	Adversarial Two-Tower Neural Network for New Item’s Popularity Prediction in E-commerce	None	ICDE 2021
Career Trajectory Prediction	Company <br> Position	TACTP	Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective	None	WWW 2021
Health Prediction	NASH <br> AD	UNITE	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data	Pytorch <br> <br>	WWW 2021
COVID-19 Forecasting	JHUCSSE	HierST	HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting	Pytorch <br> <br>	CIKM 2021
Failure Prediction	Water Pipe <br> Sewer Pipe	FP	Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series	None	CIKM 2021
Publication Prediction	CSJ <br> CSC	VPALG	VPALG: Paper-publication Prediction with Graph Neural Networks	None	CIKM 2021
Water Quality Prediction		PDE-DGN	Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature	None	ICDM 2021
Risk Prediction	COPD <br> HeartFailure <br> KidneyDiseases	HiTANet	HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records	Pytorch <br> <br>	KDD 2020
Sales Prediction	anonymized	CARNN	Attention based Multi-Modal New Product Sales Time-series Forecasting	Pytorch <br> <br>	KDD 2020
Economy Prediction	IRS	AMCN	Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data	None	KDD 2020
Food Demand	Ele.me	OFCT	Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery	None	KDD 2020
Parking Prediction	Beijing <br> Shanghai	SHARE	Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction	Pytorch <br> <br>	AAAI 2020
Mortality Risk Prediction	MIMIC-III <br> eICU	DATA-GRU	DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series	None	AAAI 2020
Parking Prediction	Ningbo <br> Changsha	PewLSTM	PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction	Pytorch <br> <br>	IJCAI 2020
Health Risk Prediction	MIMIC-III <br> ESRD	StageNet	StageNet: Stage-Aware Neural Networks for Health Risk Prediction	Pytorch <br> <br>	WWW 2020
Micro-video Popularity Prediction	Xigua	MMVED	A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction	TF <br> <br>	WWW 2020
Drug Demand Prediction	Wikipedia		Predicting Drug Demand with Wikipedia Views: Evidence from Darknet Markets	None	WWW 2020
Epidemic Prediction	IDWR <br> CDC <br> US-HHS	Cola-GNN	Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction	Pytorch <br> <br>	CIKM 2020
Risk Prediction	HeartFailure <br> KidneyDisease <br> Dementia	LSAN	LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction	Pytorch <br> <br>	CIKM 2020
Lightning Prediction	Lightning	HSTN	A Heterogeneous Spatiotemporal Network for Lightning Prediction	Future	ICDM 2020
Disease Prediction	mPower	RNNODE	Predicting Parkinson’s Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data	None	ICDM 2020
Turbulence Prediction	Turbulence	T^2-Net	T^2-Net: A Semi-Supervised Deep Model for Turbulence Forecasting	None	ICDM 2020
Popularity Prediction	Sina Weibo	CoupledGNN	Popularity Prediction on Social Platforms with Coupled Graph Neural Networks	TF <br> <br>	WSDM 2020
Job Mobility Prediction	Self	HCPNN	A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction	Python <br> <br>	KDD 2019
Lightning Prediction	Lightning	LightNet	LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction	Keras <br> <br>	KDD 2019
Diagnosis Prediction	MIMICIII	MNN	MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction	None	IJCAI 2019
Crime Prediction	CrimeCHI <br> CrimeNYC	NN-CCRF	Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction	None	IJCAI 2019
Talent Flow Forecasting	OPNs	ETF	Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?	None	WWW 2019
Sales Prediction	Snack <br> PG&U	DSF	A Deep Neural Framework for Sales Forecasting in E-Commerce	None	CIKM 2019
Load Prediction	Charging Stations	HCFN	Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations	None	CIKM 2019
Mortality Risk Prediction	PUB <br> MIMIC-III	UA-CRNN	UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction	None	CIKM 2019
House Price Prediction	NYCHouse <br> BJHouse	FTD_DenseNet	An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective	None	ICDM 2019
Water Quality Prediction		TC	Predicting Water Quality for the Woronora Delivery Network with Sparse Samples	None	ICDM 2019

Conferences

❗ It is highly recommended to utilize dblp and Aminer (in Chinese) to search.

Some more useful websites:

• CCF conference deadlines: https://ccfddl.github.io/
• Conference eye (会议之眼): https://www.conferenceeye.cn/#/layout/home
• Call4Papers: http://123.57.137.208/ccf/ccf-8.jsp
• Conference list: http://www.conferencelist.info/upcoming.html
• PMLR: https://proceedings.mlr.press/ （contains ICML, AISTATS, ACML, UAI, etc）

Table of Conferences

Conference (Journal) CCF Ranks

Note that: AISTATS is CCF C but is top in computational mathematics (such as for probabilistic problems).

ICML

Proceeding Page https://proceedings.mlr.press/ Homepage https://icml.cc

NeurIPS

All Links

ICLR

Finding it on openreview:

Homepage https://openreview.net/group?id=ICLR.cc

KDD

Format : https://www.kdd.org/kdd20xx/accepted-papers

AAAI

IJCAI

ICDE

IEEE International Conference on Data Engineering

All Links

WWW

TheWebConf

CIKM

The Conference on Information and Knowledge Management

All Links

ICDM

IEEE International Conference on Data Mining

All Links

WSDM

ACM Web Search and Data Mining

All Links