Jia-Shuo Liu

Generalizing on Diverse Shifts: A Unified Topology-Aware Reweighting Algorithm for Graphs.

Graph Neural Networks (GNNs) have achieved strong performance in node classification, yet their performance often drops when facing graph distribution shifts between training and testing nodes. Existing methods have been explored to improve generalization under such shifts. However, many of them either rely on environm...