Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
arXiv:2604.19186v1 Announce Type: new
Abstract: Heterophily is a prevalent property of real-world graphs and is well known to impair the performance of homophilic Graph Neural Networks (GNNs). Prior work has attempted to adapt GNNs to heterophilic gra…