MPAIACL applies contrastive learning to generate adversarial invariant augmentations that improve GNN generalization under covariate shifts on graphs.
Inthe ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 1069–1078, 2022
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Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
MPAIACL applies contrastive learning to generate adversarial invariant augmentations that improve GNN generalization under covariate shifts on graphs.