Weekly Reading Group on Graphs at Mila
Organizer: Shagun Sodhani
| Date | Topic | Presenters | Slides |
|---|---|---|---|
| 23rd April, 2019 | End of term | ||
| 16th April, 2019 | Continuous-Time Dynamic Network Embeddings | Weiping Song | Slides |
| 9th April, 2019 | Improved Knowledge Graph Embedding using Background Taxonomic Information | Bahare Fatemi | Slides |
| 2nd April, 2019 | Drug Discovery and GNNs | Sun Fanyun | Slides |
| 19th March, 2019 | GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks | Shagun Sodhani | Slides |
| 12th March, 2019 | Combining Graph Neural Networks with Statistical Relational Learning | Meng Qu | Slides |
| 5th March, 2019 | Spring Break | ||
| 26th February, 2019 | RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | Jian Tang | Slides |
| 19th February, 2019 | GraphVite | Zhaocheng Zhu | Slides |
| 12th February, 2019 | Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty | Simon Blackburn | Slides |
| 5th February, 2019 | A review of semi-supervised learning on graphs using graph convolutional networks | Carlos Eduardo Lassance | Slides |
| 29th January, 2019 | Compositional Fairness Constraints for Graph Embeddings | Joey Bose | Slides |
| 22nd January, 2019 | Happy ICML | ||
| 15th January, 2019 | Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion | Disha Shrivastava | Slides |
| Date | Topic | Presenters | Slides |
|---|---|---|---|
| 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 |