Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications William L. Hamilton wleif@stanford.edu Rex Ying rexying@stanford.edu Jure Leskovec jure@cs.stanford.edu Department of Computer Science Stanford University Stanford, CA, 94305 Abstract Machine learning on graphs is an important and ubiquitous task with applications ranging from drug
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