Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Node representation learning on attributed graphs-whose nodes are associated with rich attributes (e.g., texts and protein sequences)-plays a crucial role in many important downstream tasks. To encode the attributes and graph structures simultaneously, recent studies integrate pre-trained models wit...
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Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 12. Sept.
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1. Verfasser: |
Shi, Zhihao
(VerfasserIn) |
Weitere Verfasser: |
Wang, Jie,
Lu, Fanghua,
Chen, Hanzhu,
Lian, Defu,
Wang, Zheng,
Ye, Jieping,
Wu, Feng |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2024
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article |