activity
20202023
most citedPre-training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

42 citations · 72 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

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…