# Weekly Reading Group on Graphs at Mila

**Organizer**: Shagun Sodhani

## 2019

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 |

## 2018

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 |