A COLLECTION OF OUT-OF-DISTRIBUTION GRAPH LEARNING APPROACHES

Summary from the TLDR AI newsletter

This repository lists papers on graph out-of-distribution learning, covering three primary scenarios: graph OOD generalization, training-time graph OOD adaptation, and test-time graph OOD adaptation.