Graph Domain Adaptation Does Not End with Representation Learning
Graph domain adaptation (GDA) transfers knowledge from a labeled source graph to an unlabeled target graph under shifts in both node attributes and graph structure. Existing methods primarily adapt graph representations through propagation redesign, distribution alignment, or source-to-target transition modeling, but s...
Zi-Qian Liu, Yong-Xue Xu, En-Ze Zhang et al.
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