2025
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
IJCAI 2025
Graph domain adaptation is a key subfield of graph transfer learning that aims to bridge domain gaps by transferring knowledge from a label-rich source graph to an unlabeled target graph. However, most existing methods assume balanced labels in the source graph, which often fails in practice and lea