DREAM : A Dual Variational Framework for Unsupervised Graph Domain Adaptation
Graph classification has been a prominent problem in graph machine learning fields. This problem has been investigated by leveraging message passing neural networks (MPNNs) to learn powerful graph representations. However, MPNNs extract topological semantics implicitly under label supervision, which...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 01. Okt., Seite 10787-10800
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| 1. Verfasser: |
Yin, Nan
(VerfasserIn) |
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| Weitere Verfasser: |
Shen, Li,
Wang, Mengzhu,
Liu, Xinwang,
Chen, Chong,
Hua, Xian-Sheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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