Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization

Tianrui Jia, Haoyang Li, Cheng Yang +2

Graph neural networks (GNNs) have been demonstrated to perform well in graph representation learning, but always lacking in generalization capability when tackling out-of-distribut…