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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| Main Authors: | Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10848064/ |
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