CGRL: Causal-Guided Representation Learning for Node-Level Out-of-Distribution Generalization

Bowen Lu, Lianqiang Yang, Liangqiang Yang +2

Graph Neural Networks (GNNs) deliver strong performance on graph tasks, but their accuracy drops significantly under out-of-distribution (OOD) scenarios. Under distribution shifts,…