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Jiachen Tang

1 accepted papers

2024

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation

NeurIPS 2024poster

Unsupervised Graph Domain Adaptation (UGDA) involves the transfer of knowledge from a label-rich source graph to an unlabeled target graph under domain discrepancies. Despite the proliferation of methods designed for this emerging task, the lack of standard experimental settings and fair performance…