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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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Auteurs principaux: Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng
Format: Artigo
Langue:Inglês
Publié: IEEE 2025-01-01
Collection:IEEE Access
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Accès en ligne:https://ieeexplore.ieee.org/document/10848064/
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