The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs

Kun Wang, Guibin Zhang, Xinnan Zhang +6

Graph Neural Networks (GNNs) have become pivotal tools for a range of graph-based learning tasks. Notably, most current GNN architectures operate under the assumption of homophily,…