most citedPre-training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

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cs.LG2023★ 2 cited

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching

Fang Wu, Siyuan Li, Xurui Jin +4

The success of graph neural networks (GNNs) provokes the question about explainability: ``Which fraction of the input graph is the most determinant of the prediction?'' Particularl…