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

1 code implementation • 18 Dec 2023 • Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi

In this paper, we propose a novel graph invariant learning method based on invariant and variant patterns co-mixup strategy, which is capable of jointly generating mixed multiple environments and capturing invariant patterns from the mixed graph data.

Graph Representation Learning Out-of-Distribution Generalization