ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting

Jingwei Guo, Kaizhu Huang, Rui Zhang +1

While Graph Neural Networks (GNNs) have achieved enormous success in multiple graph analytical tasks, modern variants mostly rely on the strong inductive bias of homophily. However…