Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs

Shuhan Liu, Kaize Ding

Distribution shifts on graphs -- the data distribution discrepancies between training and testing a graph machine learning model, are often ubiquitous and unavoidable in real-world…