Graph Representation Learning Book
Introduction to graph representation learning, including methods for embedding graph data, graph neural networks, and deep generative models of graphs.
graph-representation-learning graph-neural-networks knowledge-graphs book graphs article embeddings representation-learning

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.

Contents and Chapter Drafts

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Assistant Professor at McGill University and Mila, working on machine learning, NLP, and network analysis.
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