| 22nd November, 2018 |
End of Semester |
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| 15th November, 2018 |
Towards Sparse Hierarchical Graph Classifiers |
Cătălina Cangea |
Slides |
| 8th November, 2018 |
Cancelled |
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| 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 |
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| 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! |
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| 9th May, 2018 |
GraphRNN: A Deep Generative Model for Graphs |
Shagun Sodhani |
Slides |
| 2nd May, 2018 |
Happy ICLR! |
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| 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 |