edGNN: a Simple and Powerful GNN for Directed Labeled Graphs

arXiv: Learning, 2019.

Cited by: 0|Views17
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Abstract:

The ability of a graph neural network (GNN) to leverage both the graph topology and graph labels is fundamental to building discriminative node and graph embeddings. Building on previous work, we theoretically show that edGNN, our model for directed labeled graphs, is as powerful as the Weisfeiler--Lehman algorithm for graph isomorphism. ...More

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