Generic multimodal spatially graph network for spatially embedded network representation learning
Abstract Spatially embedded networks (SENs) represent a special type of complex graph, whose topologies are constrained by the networks’ embedded spatial environments. The graph representation of such networks is thereby influenced by the embedded spatial features of both nodes and edges. Accurate n...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2025-11-01
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| Серія: | Applied Network Science |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s41109-025-00751-6 |
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