DLG unifies augmented and invariant graph generation via edge masks and adds distribution and label consistency losses, reporting improved OOD accuracy on graph benchmarks.
Contrastive meta-learning for few- shot node classification,
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Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
DLG unifies augmented and invariant graph generation via edge masks and adds distribution and label consistency losses, reporting improved OOD accuracy on graph benchmarks.