Graph-Neural-Network

Study Group

Weekly-held online study group on GNN papers.

Date	Paper	Speaker	Links
2020/01/19	Relational inductive biases, deep learning, and graph networks (code)	Matt	slides video
2020/02/02	Graph neural networks a review of methods and applications	JJ	slides video
2020/02/09	Semi-supervised classification with graph convolutional networks (code)	Kaka	slides video1 video2
2020/02/16	Deep graph infomax (code)	Sophia	reference1 reference2
2020/02/23	A graph-to-sequence model for AMR-to-text generation (code)	Iris	slides video
2020/03/08	Review	Sophia & Kaka	resource
2020/03/15	Hierarchical graph-to-graph translation for molecules (code)	Cecile	slide
2020/03/22	Graph neural network for social recommendation (code)	Rebecca	slides video
2020/04/05	Representation Learning for Attributed Multiplex Heterogeneous Network (code)	Neil	slide resource
2020/04/12	Graphite: Iterative Generative Modeling of Graphs (code)	Elian	slide
2020/04/19	Session-based recommendation with graph neural networks (code)	Irene	slide
2020/05/03	Review
2020/05/10	Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics	Sidney	slide
2020/05/10	How powerful are graph neural networks (code)	Claire
2020/05/17	Graph neural network for ranking web pages	Lilian
2020/05/24	Review