Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting
Rapidly accumulating, large-scale and long-term meteorological data provide unprecedented opportunities for data-driven meteorological models and fine-grained numerical weather prediction. Many existing approaches based on deep learning models, e.g., recurrent neutral networks and graph neural netwo...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2025-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/10848064/ |
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