22nd November, 2018 | End of Semester | | |
15th November, 2018 | Towards Sparse Hierarchical Graph Classifiers | Cătălina Cangea | Slides |
8th November, 2018 | Cancelled | | |
1st November, 2018 | Multi-hop Reasoning with Graph Convolutional Networks | Carlos Eduardo Lassance | Slides |
25th October, 2018 | Diffusion-Based Approximate Value Functions | Martin Klissarov | Slides |
18th October, 2018 | GraphDial | Prasanna Parthasarathi | WIP |
11th October, 2018 | Learning Graphical State Transitions | Daniel D. Johnson | Slides |
4th October, 2018 | Hyperbolic Graph Embeddings | William L. Hamilton | Slides |
27th September, 2018 | Deep Graph Informax | Petar Veličković | Slides |
20th September, 2018 | Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Cătălina Cangea | Slides |
13th September, 2018 | Latent Molecular Optimization for Targeted Therapeutic Design | Andreea Deac | Slides |
29th August, 2018 | Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning | Zhiqing Sun | Slides |
22nd August, 2018 | A simple neural network module for relational reasoning, Relational recurrent neural networks, Relational deep reinforcement learning | Petar Veličković | Slides |
15th August, 2018 | NerveNet: Learning Structured Policy with Graph Neural Networks | Cătălina Cangea | Slides |
8th August, 2018 | A Graph-to-Sequence Model for AMR-to-Text Generation | Koustuv Sinha | Slides |
1st August, 2018 | NetGAN: Generating Graphs via Random Walk | Cheng Yang | Slides |
25th July, 2018 | Neural Relational Inference for Interacting Systems | Petar Velickovic | Slides |
18th July, 2018 | Hierarchical Graph Representation Learning with Differentiable Pooling | Simon Blackburn | Slides |
11th July, 2018 | ICML | | |
4th July, 2018 | Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation | Andreea Deac | Slides |
27th June, 2018 | Adversarial Attack on Graph Structured Data | Cheng Yang | Slides |
20th June, 2018 | Representation Learning on Graphs with Jumping Knowledge Networks | Shagun Sodhani | Slides |
13th June, 2018 | Stochastic Training of Graph Convolutional Networks with Variance Reduction | Shagun Sodhani | Slides |
6th June, 2018 | GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders | Alejandro Posada | Slides |
30th May, 2018 | Towards Gene Expression Convolutions using Gene Interaction Graphs | Joseph Cohen | Slides |
23rd May, 2018 | Automatically Extracting Action Graphs from Materials Science Synthesis Procedures | Francis and Karam | Slides |
16th May, 2018 | NIPS! | | |
9th May, 2018 | GraphRNN: A Deep Generative Model for Graphs | Shagun Sodhani | Slides |
2nd May, 2018 | Happy ICLR! | | |
25th April, 2018 | Junction Tree Variational Autoencoder for Molecular Graph Generation | Yu-Hsiang Huang | slides |
18th April, 2018 | Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties | Simon Blackburn | slides |
11th April, 2018 | Graph Representation and Molecular Property Prediction using Message Passing Neural Networks | Jian Tang, Karam Thomas, Shagun Sodhani | slides |