HyMePre: A Spatial–Temporal Pretraining Framework with Hypergraph Neural Networks for Short-Term Weather Forecasting

Accurate short-term weather forecasting plays a vital role in disaster response, agriculture, and energy management, where timely and reliable predictions are essential for decision-making. Graph neural networks (GNNs), known for their ability to model complex spatial structures and relational data,...

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Bibliografiske detaljer

Principais autores:	Fei Wang, Dawei Lin, Baojun Chen, Guodong Jing, Yi Geng, Xudong Ge, Daoming Wei, Ning Zhang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-07-01
Serier:	Applied Sciences
Fag:	weather forecasting graph neural network hypergraph pretraining
Online adgang:	https://www.mdpi.com/2076-3417/15/15/8324
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