2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024technical
Domain adaptation has become an attractive learning paradigm, as it can leverage source domains with rich labels to deal with classification tasks in an unlabeled target domain. A few recent studies develop domain adaptation approaches for graph-structured data. In the case of node classification ta…