2025
Enhancing Graph Invariant Learning from a Negative Inference Perspective
ICML 2025poster
The out-of-distribution (OOD) generalization challenge is a longstanding problem in graph learning. Through studying the fundamental cause of data distribution shift, i.e., the changes of environments, significant progress has been achieved in addressing this issue. However, we observe that existin…