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Dylan Bourgeois

1 accepted papers

2019

GNNExplainer: Generating Explanations for Graph Neural Networks

NeurIPS 2019poster

Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs.GNNs combine node feature information with the graph structure by recursively passing neural messages along edges of the input graph. However, incorporating both graph structure and feature information leads to complex…