Chenghua Gong

A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions

2024 · arXiv (Cornell University)

Graphs are structured data that models complex relations between real-world entities. Heterophilic graphs, where linked nodes are prone to be with different labels or dissimilar features, have recently attracted significant attention and found many real-world …