Deformable Graph Transformer
Transformer-based models have recently shown success in representation learning on graph-structured data beyond natural language processing and computer vision. However, the success is limited to small-scale graphs due to the drawbacks of full dot-product attention on graphs such as the quadratic co...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 14. März
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| 1. Verfasser: |
Park, Jinyoung
(VerfasserIn) |
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| Weitere Verfasser: |
Yun, Seongjun,
Park, Hyeonjin,
Kang, Jaewoo,
Jeong, Jisu,
Kim, Kyung-Min,
Ha, Jung-Woo,
Kim, Hyunwoo J |
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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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