Post #58

Graph ML Surveys A good way to start in this domain is to read what people already have done. Videos * Learning on Non-Euclidean Domains * Stanford Course CS 224w GNN * Graph Neural Networks: A Review of Methods and Applications 2018 * A Comprehensive Survey on Graph Neural Networks 2019 * A Gentle Introduction to Deep Learning for Graphs 2019 * Deep Learning on Graphs: A Survey 2018 * Relational inductive biases, deep learning, and graph networks 2018 * Geometric deep learning: going beyond Euclidean data 2016 * Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview 2019 * Machine Learning on Graphs: A Model and Comprehensive Taxonomy 2020 Graph kernels * A Survey on Graph Kernels 2019 * Graph Kernels: A Survey 2019 Adversarial Attacks * Adversarial Attack and Defense on Graph Data: A Survey 2018 Representation Learning * Learning Representations of Graph Data -- A Survey 2019 * Representation Learning on Graphs: Methods and Applications 2017 * Representation Learning for Dynamic Graphs: A Survey 2020 JMLR Books Graph Representation Learning Book by Will Hamilton Deep Learning on Graphs by Yao Ma and Jiliang Tang