Revealing the Pitfalls and Re-Evaluating the Advancement of Heterophilic Graph Learning

Sitao Luan, Qincheng Lu, Chenqing Hua +3

Over the past decade, Graph Neural Networks (GNNs) have achieved great success on machine learning tasks with relational data. However, recent studies have found that heterophily c…