Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization

Wenyu Mao, Jiancan Wu, Haoyang Liu +2

Graph out-of-distribution (OOD) generalization remains a major challenge in graph learning since graph neural networks (GNNs) often suffer from severe performance degradation under…