[HTML][HTML] TO-UGDA: target-oriented unsupervised graph domain adaptation
Graph domain adaptation (GDA) aims to address the challenge of limited label data in the
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
TO-UGDA: target-oriented unsupervised graph domain adaptation.
Z Zeng, J Xie, Z Yang, T Ma, D Chen - Scientific Reports, 2024 - europepmc.org
Graph domain adaptation (GDA) aims to address the challenge of limited label data in the
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
TO-UGDA: target-oriented unsupervised graph domain adaptation
Z Zeng, J Xie, Z Yang, T Ma, D Chen - Scientific reports, 2024 - pubmed.ncbi.nlm.nih.gov
Graph domain adaptation (GDA) aims to address the challenge of limited label data in the
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
TO-UGDA: target-oriented unsupervised graph domain adaptation.
Z Zeng, J Xie, Z Yang, T Ma, D Chen - Scientific Reports, 2024 - search.ebscohost.com
Graph domain adaptation (GDA) aims to address the challenge of limited label data in the
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
TO-UGDA: target-oriented unsupervised graph domain adaptation
Z Zeng, J Xie, Z Yang, T Ma, D Chen - Scientific Reports, 2024 - ui.adsabs.harvard.edu
Graph domain adaptation (GDA) aims to address the challenge of limited label data in the
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …
target graph domain. Existing methods such as UDAGCN, GRADE, DEAL, and COCO for …