Si-Qing Li

Effective Heterophilous Heterogeneous Graph Learning via Decoupled Spectral Filtering and Curriculum Learning

Heterogeneous graphs (HGs) are widely used to model complex relational data in domains such as traffic networks, biology, and recommendation systems. While heterogeneous graph neural networks (HGNNs) demonstrate strong performance on homophilous benchmarks, they struggle to generalize to heterophilous HGs where connect...