AI RESEARCH
Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation
arXiv CS.LG
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ArXi:2606.00808v1 Announce Type: new Source-free graph domain adaptation (SF-GDA) aims to adapt source-trained graph models to unlabeled target graphs when source graphs are no longer accessible. A central obstacle is pseudo-label reliability: under feature and topological shifts, source-induced predictions may become confidently wrong, and indiscriminate self-