MPAIACL applies contrastive learning to generate adversarial invariant augmentations that improve GNN generalization under covariate shifts on graphs.
Graphinfoclust:Leveraging cluster-level node information for unsupervised graph representation learning.arXiv preprint arXiv:2009.06946, 2020
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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.