Wu Jiang

Enhancing Graph Invariant Learning from a Negative Inference Perspective

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…