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cs.LG2026
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…
cs.LG2024
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking
Simon Zhang, Cheng Xin, Tamal K. Dey
A hypergraph consists of a set of nodes along with a collection of subsets of the nodes called hyperedges. Higher-order link prediction is the task of predicting the existence of a…