4.5k citations · 11.2k across the 85 of their papers we have counts for
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cs.SI2017★ 295 cited
Representation Learning on Graphs: Methods and Applications
William L. Hamilton, Rex Ying, Jure Leskovec
Machine learning on graphs is an important and ubiquitous task with applications ranging from drug design to friendship recommendation in social networks. The primary challenge in…
cs.SI2017★ 4.5k cited
Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec
Low-dimensional embeddings of nodes in large graphs have proved extremely useful in a variety of prediction tasks, from content recommendation to identifying protein functions. How…