Graph Representation Learning Book

The field of graph representation learning has grown at an incredible (and sometimes unwieldy) pace over the past seven years, transforming from a small subset of researchers working on a relatively niche topic to one of the fastest growing sub-areas of deep learning. This book is my attempt to provide a brief but comprehensive introduction to graph representation learning, including methods for embedding graph data, graph neural networks, and deep generative models of graphs. This book is a pre-publication draft of a book that will be published by Morgan & Claypool publishers in late 2020, and the publishers have generously agreed to allow the public hosting of the pre-publication draft. Feedback, typo corrections, and comments are welcome and should be sent to wlh@cs.mcgill.ca