# Weekly Reading Group on Graphs at Mila

## 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 | ICLR | ||

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 |