Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization

Simon Zhang, Ryan P. DeMilt, Kun Jin +1

Out-of-distribution (OoD) generalization occurs when representation learning encounters a distribution shift. This occurs frequently in practice when training and testing data come…