Graph Neural Networks: A gentle introduction

Resources that was very useful for me when learning about GNNs that you can check out for more information and from which I’ve used in the slides: Cs224w: 0:00 Introduction 1:24 Why graphs 4:13 What is a graph 7:06 Common graph tasks 11:08 Representation of a graph 12:46 - How does a GNN work? 14:35 - Understanding information propagation 17:24 - Key property: Permutation Invariance 19:33 - Key property: Permutation Equivariance 22:22 - Message passing computation 23:53 - GNN Variant: Convolution 26:37 - GNN Variant: Attention 28:39 - Ending