Graph Neural Networks- A Gentle Introduction

This introductory course explains why graphs are useful for non-Euclidean data and how graph neural networks operate. It covers graph representation, common graph tasks, information propagation, permutation invariance and equivariance, message passing, graph convolution, and graph attention as background for later coding implementations.