Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data
Abstract Graphs are widely used to model interconnected systems, offering powerful tools for data representation and problem-solving. However, their reliance on pairwise, single-type, and static connections limits their expressive capacity. Recent developments extend this foundation through higher-o...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-05-01
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| Schriftenreihe: | Scientific Reports |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1038/s41598-025-01856-9 |
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