Graph Representation Learning

Intended audience This book is intended for a graduate-level researcher in machine learning or an advanced undergraduate student. The discussions of graph-structured data and graph properties are relatively self-contained. However, the book does assume a background in machine learning and a familiarity with modern deep learning methods (e.g., convolutional and re- current neural networks). Generally, the book assumes a level of machine learning and deep learning knowledge that one would obtain from a text- book such as Goodfellow et al. [2016]'s Deep Learning Book.