Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
arXiv:2604.08404v2 Announce Type: replace
Abstract: Out-of-distribution (OoD) generalization occurs when representation learning encounters a distribution shift. This occurs frequently in practice when training and testing data come from different env…