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Awesome-Deep-Multiview-Clustering

Collections for state-of-the-art and novel deep neural network-based multi-view clustering approaches (papers & codes). According to the integrity of multi-view data, such methods can be further subdivided into Deep Multi-view Clustering(DMVC) and Deep Incomplete Multi-view Clustering(DIMVC).

We are looking forward for other participants to share their papers and codes. If interested or any question about the listed papers and codes, please contact jinjiaqi@nudt.edu.cn. If you find this repository useful to your research or work, it is really appreciated to star this repository. :sparkles: If you use our code or the processed datasets in this repository for your research, please cite 1-2 papers in the citation part here. :heart:

Table of Contents

• What's Deep Multi-view Clustering?
• Surveys
• Papers & Codes
  • Deep Multi-view Clustering(DMVC)
  • Deep Incomplete Multi-view Clustering(DIMVC)
• Citation

<span id="jump1">What's Deep Multi-view Clustering? </span>

Deep multi-view clustering aims to reveal the potential complementary information of multiple features or modalities through deep neural networks, and finally divide samples into different groups in unsupervised scenarios.

<span id="jump2">Surveys </span>

Year	Title	Venue	Paper
2024	A Survey and an Empirical Evaluation of Multi-view Clustering Approaches	ACM CS
2024	Deep Clustering：A Comprehensive Survey	TNNLS
2024	Breaking Down Multi-view Clustering：A Comprehensive Review of Multi-view Approaches for Complex Data Structures	EAAI
2024	Incomplete Multi-view Learning: Review, Analysis, and Prospects	ASC
2023	A Comprehensive Survey on Multi-view Clustering	TKDE
2022	Representation Learning in Multi-view Clustering: A Literature Review	DSE
2022	Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions	Arxiv
2021	Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion	TOMM
2021	Deep Multi-view Learning Methods: A Review	Neurocom
2018	A Survey of Multi-View Representation Learning	TKDE
2018	Multi-view Clustering: A Survey	BDMA
2018	Multimodal Machine Learning: A Survey and Taxonomy	TPAMI
2018	A Survey on Multi-View Clustering	Arxiv
2017	Multi-view Learning Overview：Recent Progress and New Challenges	IF
2013	A Survey on Multi-view Learning	Arxiv

<span id="jump3">Papers & Codes </span>

According to the integrity of multi-view data, the paper is divided into deep multi-view clustering methods and deep incomplete multi-view clustering approaches.

<span id="jump31">Deep Multi-view Clustering(DMVC)</span>

Year	Title	Abbreviation	Venue	Paper	Code
2024	SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering	SURER	AAAI		-
2024	Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders	CMVAE	ICLR		-
2024	Structural deep multi-view clustering with integrated abstraction and detail	SMVC	NN		-
2024	Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-View Clustering	PNCL-FDMC	NN		-
2024	Differentiable Information Bottleneck for Deterministic Multi-view Clustering	DIB	CVPR		-
2024	Composite attention mechanism network for deep contrastive multi-view clustering	CAMVC	NN		-
2024	Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion	AGARL	IF		-
2024	Structure-guided feature and cluster contrastive learning for multi-view clustering	SGFCC	Neurcom		-
2024	Learning consensus representations in multi-latent spaces for multi-view clustering	DMCC	Neurcom		-
2024	Decomposed deep multi-view subspace clustering with self-labeling supervision	D2MVSC	IS		-
2024	Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement	MAGA	IF
2024	Rethinking Multi-view Representation Learning via Distilled Disentangling	MRDD	CVPR
2023	Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering	GECMC	TIP
2023	Neighbor-aware deep multi-view clustering via graph convolutional network	NMvC-GCN	IF
2023	Joint contrastive triple-learning for deep multi-view clustering	JCT	IPM
2023	Auto-attention mechanism for multi-view deep embedding clustering	MDEC	PR		-
2023	Deep multi-view spectral clustering via ensemble	DMCE	PR		-
2023	Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization	deepURL	TETCI
2023	Dropping pathways towards deep multi-view graph subspace clustering networks	DPMGSC	ACM MM		-
2023	Triple-granularity contrastive learning for deep multi-view subspace clustering	TRUST	ACM MM		-
2023	Deep multiview adaptive clustering with semantic invariance	DMAC-SI	TNNLS
2023	Generalized Information-theoretic Multi-view Clustering	IMC	NeurIPS		-
2023	Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration	SEM	NeurIPS
2023	A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective	SUMVC	NeurIPS
2023	Dual Label-Guided Graph Refnement for Multi-View Graph Clustering	DuaLGR	AAAI
2023	Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering	CTCC	ICCV		-
2023	MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering	MHCN	ICCV		-
2023	Deep Multiview Clustering by Contrasting Cluster Assignments	CVCL	ICCV
2023	DealMVC: Dual Contrastive Calibration for Multi-view Clustering	DealMVC	ACM MM
2023	Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering	SGDMC	AAAI		-
2023	Dual Fusion-Propagation Graph Neural Network for Multi-view Clustering	DFP-GNN	TMM		-
2023	Joint Shared-and-Specific Information for Deep Multi-View Clustering	JSSI	TCSVT		-
2023	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering	DeepMVC	CVPR
2023	GCFAgg：Global and Cross-view Feature Aggregation for Multi-view Clustering	GCFAgg	CVPR		-
2023	Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering	SIB-MSC	TIP		-
2023	Multi-channel Augmented Graph Embedding Convolutional Network for Multi-view Clustering	MAGEC-Net	TNSE		-
2022	Deep Safe Multi-View Clustering：Reducing the Risk of Clustering Performance Degradation Caused by View Increase	DSMVC	CVPR
2022	Multi-level Feature Learning for Contrastive Multi-view Clustering	MFLVC	CVPR
2022	Stationary Diffusion State Neural Estimation for Multiview Clustering	SDSNE	AAAI
2022	Multi-View Subspace Clustering via Structured Multi-Pathway Network	SMpNet	TNNLS
2022	Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization	MvSC-MRAR	TNNLS		-
2022	Self-Supervised Deep Multiview Spectral Clustering	SDMvSC	TNNLS		-
2022	Contrastive Multi-view Hyperbolic Hierarchical Clustering	CMHHC	IJCAI		-
2022	Multi-view Graph Embedding Clustering Network：Joint Self-supervision and Block Diagonal Representation	MVGC	NN
2022	Efficient Multi‑view Clustering Networks	EMC-Nets	APPL INTELL
2021	Deep Mutual Information Maximin for Cross-Modal Clustering	DMIM	AAAI		-
2021	Uncertainty-Aware Multi-View Representation Learning	DUA-Nets	AAAI
2021	Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification	DSRL	TPAMI
2021	Reconsidering Representation Alignment for Multi-view Clustering	SiMVC&CoMVC	CVPR
2021	Deep Multiple Auto-Encoder-Based Multi-view Clustering	MVC_MAE	DSE
2021	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos	MCN	ICCV
2021	Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering	Multi-VAE	ICCV
2021	Graph Filter-based Multi-view Attributed Graph Clustering	MvAGC	IJCAI
2021	Multi-view Subspace Clustering Networks with Local and Global Graph Information	MSCNGL	Neurocom
2021	Attentive Multi-View Deep Subspace Clustering Net	AMVDSN	Neurocom		-
2021	Multi-view Contrastive Graph Clustering	MCGC	NeurIPS
2021	Self-supervised Discriminative Feature Learning for Deep Multi-view Clustering	SDMVC	TKDE
2021	Multi-view Attributed Graph Clustering	MAGC	TKDE
2021	Deep Multi-view Subspace Clustering with Unified and Discriminative Learning	DMSC-UDL	TMM
2021	Self-supervised Graph Convolutional Network for Multi-view Clustering	SGCMC	TMM
2021	Consistent Multiple Graph Embedding for Multi-View Clustering	CMGEC	TMM
2021	Deep Multiview Collaborative Clustering	DMCC	TNNLS		-
2020	Partially View-aligned Clustering	PVC	NeurIPS
2020	Cross-modal Subspace Clustering via Deep Canonical Correlation Analysis	CMSC-DCCA	AAAI		-
2020	Shared Generative Latent Representation Learning for Multi-View Clustering	DMVCVAE	AAAI
2020	End-to-End Adversarial-Attention Network for Multi-Modal Clustering	EAMC	CVPR
2020	Multi-View Attribute Graph Convolution Networks for Clustering	MAGCN	IJCAI
2020	End-To-End Deep Multimodal Clustering	DMMC	ICME
2020	Deep Embedded Multi-view Clustering with Collaborative Training	DEMVC	IS
2020	Joint Deep Multi-View Learning for Image Clustering	DMJC	TKDE		-
2020	One2Multi Graph Autoencoder for Multi-view Graph Clustering	O2MVC	WWW
2019	AE^2-Nets: Autoencoder in Autoencoder Networks	AE^2-Nets	CVPR
2019	COMIC: Multi-view Clustering Without Parameter Selection	COMIC	ICML
2019	Deep Adversarial Multi-view Clustering Network	DAMC	IJCAI
2019	Multi-view Spectral Clustering Network	MvSCN	IJCAI
2019	Multi-view Deep Subspace Clustering Networks	MvDSCN	TIP
2018	Generalized Latent Multi-View Subspace Clustering	gLMSC	TPAMI
2018	Deep Multimodal Subspace Clustering Networks	DMSC	STSP
2018	Deep Multi-View Clustering via Multiple Embedding	DMVC-ME	CoRR		-

<span id="jump32">Deep Incomplete Multi-view Clustering(DIMVC)</span>

Year	Title	Abbreviation	Venue	Paper	Code
2024	Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures	DVIMC	AAAI
2024	Partial Multi-View Clustering via Self-Supervised Network	PVC-SCN	AAAI		-
2024	Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding	ICMVC	AAAI
2024	Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering	AGDIMC	AAAI		-
2024	Decoupled Contrastive Multi-view Clustering with High-order Random Walks	DIVIDE	AAAI
2024	Incomplete Multi-View Clustering Via Inference and Evaluation	IMVC-IE	ICASSP
2024	Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering	SPCC	TNNLS		-
2024	Robust Multi-Graph Contrastive Network for Incomplete Multi-View Clustering	RMGC	TMM		-
2024	Multimodal Patient Representation Learning With Missing Modalities and Labels	MUSE	ICLR		-
2024	Contrastive and Adversarial Regularized Multi-level Representation Learning for Incomplete Multi-view Clustering	MRL_CAL	NN
2024	A novel Federated Multi-view Clustering Method for Unaligned and Incomplete Data Fusion	FUCIF	IF
2024	View-interactive Attention Information Alignment-guided Fusion for Incomplete Multi-view Clustering	VAIAF	ESA		-
2024	Incomplete Multi-view Clustering via Self-attention Networks and Feature Reconstruction	SNFR	APPL INTELL		-
2023	UNTIE: Clustering Analysis with Disentanglement in Multi-view Information Fusion	UNTIE	IF		-
2023	Federated Deep Multi-View Clustering with Global Self-Supervision	FedDMVC	ACM MM		-
2023	Incomplete Multi-view Clustering via Attention-based Contrast Learning	MCAC	IJMLC
2023	Incomplete Multi-View Clustering With Complete View Guidance	IMC-CVG	SPL		-
2023	Information Recovery-driven Deep Incomplete Multiview Clustering Network	RecFormer	TNNLS
2023	Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning	CMVAE	TPAMI		-
2023	Semantic Invariant Multi-View Clustering With Fully Incomplete Information	SMILE	TPAMI
2023	Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment	CPSPAN	CVPR
2023	Adaptive Feature Projection with Distribution Alignment for Deep Incomplete Multi-view Clustering	APADC	TIP
2023	Incomplete Multi-view Clustering via Prototype-based Imputation	ProImp	IJCAI
2023	Consistent Graph Embedding Network with Optimal Transport for Incomplete Multi-view Clustering	CGEN-OT	IS		-
2023	CCR-Net: Consistent Contrastive Representation Network for Multi-view Clustering	CCR-Net	IS
2023	Incomplete Multi-view Clustering Network via Nonlinear Manifold Embedding and Probability-Induced Loss	IMCNet-MP	NN		-
2022	Robust Multi-view Clustering with Incomplete Information	SURE	TPAMI
2022	Dual Contrastive Prediction for Incomplete Multi-view Representation Learning	DCP	TPAMI
2022	Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm	DSIMVC	ICML
2022	Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity	DIMVC	AAAI
2022	Robust Diversified Graph Contrastive Network for Incomplete Multi-view Clustering	RDGC	ACM MM
2022	Incomplete Multi-view Clustering via Cross-view Relation Transfer	CRTC	TCSVT		-
2022	Graph Contrastive Partial Multi-view Clustering	AGCL	TMM
2021	COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction	COMPLETER	CVPR
2021	iCmSC: Incomplete Cross-modal Subspace Clustering	iCmSC	TIP
2021	Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency	GP-MVC	TIP
2021	Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data	CASEN	IJCAI		-
2021	Structural Deep Incomplete Multi-view Clustering Network	SDIMC-net	CIKM		-
2021	Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network	DASIMSC	SPL		-
2020	Deep Partial Multi-View Learning	DPML	TPAMI
2020	CDIMC-net：Cognitive Deep Incomplete Multi-view Clustering Network(	CDIMC-net	IJCAI
2020	DIMC-net：Deep Incomplete Multi-view Clustering Network	DIMC-net	ACM MM		-
2020	Deep Incomplete Multi-View Multiple Clusterings	DiMVMC	ICDM
2019	CPM-Nets: Cross Partial Multi-View Networks	CPM-Nets	NeurIPS
2019	Adversarial Incomplete Multi-view Clustering	AIMC	IJCAI		-
2018	Partial Multi-View Clustering via Consistent GAN	PVC-GAN	ICDM

<span id="jump4">Citation </span>

@inproceedings{jin2023deep,
  title={Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment},
  author={Jin, Jiaqi and Wang, Siwei and Dong, Zhibin and Liu, Xinwang and Zhu, En},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={11600--11609},
  year={2023}
}