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https://github.com/shagunsodhani/Graph-Reading-Group

Weekly reading group on Graphs at Mila
https://github.com/shagunsodhani/Graph-Reading-Group

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Weekly reading group on Graphs at Mila

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# Weekly Reading Group on Graphs at [Mila](https://mila.quebec/en/) 



**Organizer**: [Shagun Sodhani](mailto:[email protected])



## 2019



|       Date       | Topic | Presenters | Slides |

|:----------------:|:----------------------------------------:|:----------:|:------:|

| 23rd April, 2019 | End of term |  | 

| 16th April, 2019 | Continuous-Time Dynamic Network Embeddings | Weiping Song | [Slides](https://drive.google.com/file/d/1bDfMsxLYZVnI_oy4tbZrnAzoWUU4SSu-/view?usp=sharing)

| 9th April, 2019 | Improved Knowledge Graph Embedding using Background Taxonomic Information | Bahare Fatemi | [Slides](https://drive.google.com/file/d/1wBBQjBqiuz2iD6SKrVWBS6cTop1Rk1d4/view?usp=sharing)

| 2nd April, 2019 | Drug Discovery and GNNs | Sun Fanyun | [Slides](https://drive.google.com/file/d/10aycSVdr_CEFUrNuD33uzQfVc_uWSMnS/view?usp=sharing)

| 19th March, 2019 | GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks | Shagun Sodhani | [Slides](https://drive.google.com/file/d/1SCgEmYZn3jggd5HP54DUM7lFGDJjJloH/view?usp=sharing)

| 12th March, 2019 | Combining Graph Neural Networks with Statistical Relational Learning | Meng Qu | [Slides](https://drive.google.com/file/d/1BllYW5otmHgQo5_8VR7eN0J3TgzhPnmo/view?usp=sharing)

| 5th March, 2019 | Spring Break | | 

| 26th February, 2019 | RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | Jian Tang | [Slides](https://drive.google.com/file/d/1YcVFxG-wybTn6h0l5-xZ0_rxPS-Ctf6X/view?usp=sharing)

| 19th February, 2019 | GraphVite | Zhaocheng Zhu | [Slides](https://drive.google.com/file/d/1V6ToBS3msekc-_XkzJtOwUkpOsYX7WrE/view?usp=sharing)

| 12th February, 2019 |	Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty | Simon Blackburn | [Slides](https://drive.google.com/file/d/1-HgN1cogcImghtNBouSW9Mw2LiSQa_mF/view?usp=sharing)

| 5th February, 2019 |	A review of semi-supervised learning on graphs using graph convolutional networks | Carlos Eduardo Lassance | [Slides](https://drive.google.com/file/d/1Kuiuesn-O0X9pi4YMTLOj37gzJHCxBTf/view?usp=sharing)

| 29th January, 2019 |	Compositional Fairness Constraints for Graph Embeddings | Joey Bose | [Slides](https://drive.google.com/file/d/1RUz2u0k55XLRX5uKxHtDJyIBij_Nz6n1/view?usp=sharing)

| 22nd January, 2019 |	Happy ICML  |  | 

| 15th January, 2019 |	[Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion](https://ai.google/research/pubs/pub45634)  | Disha Shrivastava| [Slides](https://drive.google.com/file/d/1tLcA0Z-NX_TcRx4bWhcpFH1bElePkoAs/view?usp=sharing)



## 2018



|       Date       | Topic | Presenters | Slides |

|:----------------:|:----------------------------------------:|:----------:|:------:|

| 22nd November, 2018 |	End of Semester  | 

| 15th November, 2018 |	[Towards Sparse Hierarchical Graph Classifiers](https://arxiv.org/abs/1811.01287)  | Cătălina Cangea | [Slides](https://drive.google.com/file/d/1X707h9ATeivmNUWbGPrSMCV1U3DyxXzj/view?usp=sharing)

| 8th November, 2018 |	Cancelled  |  |  

| 1st November, 2018 |	[Multi-hop Reasoning with Graph Convolutional Networks](https://drive.google.com/file/d/1WbUCWSuCdI6cB13SuCj-kR9mNzCp0gCt/view?usp=sharing)  | Carlos Eduardo Lassance | [Slides](https://drive.google.com/file/d/1e1q_xyvfiPqjwDQ5Ak0IcHCCiHNJcqvC/view?usp=sharing)

| 25th October, 2018 |	[Diffusion-Based Approximate Value Functions](https://openreview.net/pdf?id=BkgkoToZZ7)  | Martin Klissarov | [Slides](https://drive.google.com/file/d/1e1q_xyvfiPqjwDQ5Ak0IcHCCiHNJcqvC/view?usp=sharing)

| 18th October, 2018 |	GraphDial  | Prasanna Parthasarathi | WIP

| 11th October, 2018 |	[Learning Graphical State Transitions](https://openreview.net/pdf?id=HJ0NvFzxl)  | Daniel D. Johnson | [Slides](https://drive.google.com/file/d/1h4eoSOn9bxdmrW8gYiAEI9SFqlMUQ4db/view?usp=sharing)

| 4th October, 2018 |	Hyperbolic Graph Embeddings  | William L. Hamilton | [Slides](https://drive.google.com/file/d/1rKkghMed5NNp0bMWUbgkopjP75SLTzyZ/view?usp=sharing) 

| 27th September, 2018 | Deep Graph Informax |  Petar Veličković | [Slides](https://drive.google.com/file/d/1Z8BGq2WBnjWdE11fbU8AqCjZotA9YalB/view?usp=sharing) 

| 20th September, 2018 |	Graph Convolutional Neural Networks for Web-Scale Recommender Systems  | Cătălina Cangea | [Slides](https://drive.google.com/file/d/1LAqht_2A6YYHMW1ooGN0qq_YXfClChYT/view?usp=sharing) 

| 13th September, 2018 |	Latent Molecular Optimization for Targeted Therapeutic Design  | Andreea Deac | [Slides](https://drive.google.com/file/d/1M7k3PpNOeG_it_ebIwI66Vh8d3qMqt8D/view?usp=sharing) 

| 29th August, 2018 |		Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning  | Zhiqing Sun | [Slides](https://drive.google.com/file/d/1x_cv5kVR_zyZNNseKk9M2cHcEPpnOLzn/view?usp=sharing) 

| 22nd August, 2018 |		A simple neural network module for relational reasoning, Relational recurrent neural networks, Relational deep reinforcement learning | Petar Veličković | [Slides](https://drive.google.com/file/d/1kGELCqeZKD_pM_sYHN3r0di7lWtYQswB/view?usp=sharing) 

| 15th August, 2018 |		[NerveNet: Learning Structured Policy with Graph Neural Networks](https://openreview.net/forum?id=S1sqHMZCb) | Cătălina Cangea | [Slides](https://drive.google.com/file/d/1wJ9kOG5Z94-heF2PPADcjvZHMyDjnEJe/view?usp=sharing) 

| 8th August, 2018 |		A Graph-to-Sequence Model for AMR-to-Text Generation | Koustuv Sinha | [Slides](https://drive.google.com/file/d/10Q4FwlMAUUU-_SfiyrqE1z9DUfrHllxs/view?usp=sharing) 

| 1st August, 2018 |		NetGAN: Generating Graphs via Random Walk | Cheng Yang | [Slides](https://drive.google.com/file/d/1NAe_DK_zfEBIu19mLgVOlaDwmhQ8RrGK/view?usp=sharing) 

| 25th July, 2018 |		Neural Relational Inference for Interacting Systems | Petar Velickovic | [Slides](https://drive.google.com/open?id=1uv5fTWqFmTa50RG-Abt3GbvRDumudS3o) 

| 18th July, 2018 |		Hierarchical Graph Representation Learning with Differentiable Pooling | Simon Blackburn | [Slides](https://drive.google.com/file/d/1ac3TfL-b2yD_2v5EzCZiq8dE-VQq9D23/view?usp=sharing) 

| 11th July, 2018 |		ICML |  | 

| 4th July, 2018 |		Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation | Andreea Deac | [Slides](https://docs.google.com/presentation/d/18_LtkQpVJJ4asij72mD_rM-piMy00tDVgS1T5it8VlE/edit#slide=id.p) 

| 27th June, 2018 |		Adversarial Attack on Graph Structured Data | Cheng Yang | [Slides](https://drive.google.com/file/d/1jDQhZlBov2qaCKz-MSx1orDk23Uw1YXz/view)

| 20th June, 2018 |		Representation Learning on Graphs with Jumping Knowledge Networks  | Shagun Sodhani | [Slides](https://docs.google.com/presentation/d/1VqmZEGFLWvyt2UazWje5UmgIM5geU3O1r0DkWlgNVVM/edit?usp=sharing)

| 13th June, 2018 |		Stochastic Training of Graph Convolutional Networks with Variance Reduction  | Shagun Sodhani | [Slides](https://docs.google.com/presentation/d/1VqmZEGFLWvyt2UazWje5UmgIM5geU3O1r0DkWlgNVVM/edit#slide=id.g36248c8b2c_0_644)

| 6th June, 2018 |	GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders  | Alejandro Posada | [Slides](https://drive.google.com/file/d/1BcfMvZ0Uyku4v4Q3CyWT8Ng47U8B4mhC/view)

| 30th May, 2018 |	Towards Gene Expression Convolutions using Gene Interaction Graphs  |Joseph Cohen | [Slides](https://drive.google.com/file/d/15R5VGl33Afm3g6IFx_reEDiga1oPE3Il/view?usp=sharing)

| 23rd May, 2018 |	Automatically Extracting Action Graphs from Materials Science Synthesis Procedures  |Francis and Karam | [Slides](https://drive.google.com/file/d/16eKWAARX0L1DUjfCT8HW8M7f7KQxxXzl/view?usp=sharing)

| 16th May, 2018 |	NIPS!	|  |	 |

| 9th May, 2018 |	GraphRNN: A Deep Generative Model for Graphs |Shagun Sodhani | [Slides](https://docs.google.com/presentation/d/1KV1LpLRVN7xLim_ccZlrxlQWKxcL4k0yldFU1ZgNdGs/edit#slide=id.g36248c8b2c_0_644)

| 2nd May, 2018 |	Happy ICLR!	|  |	 |

| 25th April, 2018 | Junction Tree Variational Autoencoder for Molecular Graph Generation |  Yu-Hsiang Huang | [slides](https://drive.google.com/file/d/1Lk2sRo9T2z0sbY60QXR1Pz_3ozn9mfIr/view) |

| 18th April, 2018 |	Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties	| Simon Blackburn |	[slides](https://drive.google.com/file/d/1bEAx9b9geprqo44jhpUHd7F94BrpCqIa/view?usp=sharing) |

| 11th April, 2018 | Graph Representation and Molecular Property Prediction using Message Passing Neural Networks |  Jian Tang, Karam Thomas, Shagun Sodhani| [slides](https://github.com/shagunsodhani/Graph-Reading-Group/blob/master/slides/RepresentationLearning-NeuralMessagePassing.pdf) |