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Books About Deep Learning On Graph

[1] Graph Representation Learning

  • William L. Hamilton / 2020
  • Introduction:
    This book is a game changer and is currently available as pre-publication that can be downloaded online. It starts with beginners topics such as graph theory and traditional graph approaches to more advanced topics such as novel GNN models and state-of-the-art GNN research. It is a well designed and self-contained material that has most of the required theory for graph neural networks.

[2] Network Science

  • Albert-László Barabási
  • Introduction:
    It is an interactive book available online that focuses on the graph and networks theory. While it doesn’t discuss GNNs, it is an excellent resource to get strong foundations for operating on graphs.