most citedDebiasing Graph Neural Networks via Learning Disentangled Causal Substructure

38 citations · 38 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 38 cited

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Shaohua Fan, Xiao Wang, Yanhu Mo +2

Most Graph Neural Networks (GNNs) predict the labels of unseen graphs by learning the correlation between the input graphs and labels. However, by presenting a graph classification…