Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations

Han Lei, Jiaxing Xu, Xia Dong +1

Graph Convolutional Networks (GCNs) are predominantly tailored for graphs displaying homophily, where similar nodes connect, but often fail on heterophilic graphs. The strategy of…