Revisiting Deformable Convolution on Graphs : Large-range Modeling and Robustness
Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order neighborhood receptive field which makes them be incapable to capture the long-range dependencies between dis...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 17. Sept. |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |
| Online verfügbar |
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