Dynamic Graph Transformer with Spatio-Temporal Attention for Streamflow Forecasting

Accurate streamflow forecasting is crucial for water resources management and flood mitigation, yet it remains challenging due to the complex dynamics of hydrological systems. Conventional data-driven approaches often struggle to effectively capture spatio-temporal evolution characteristics, particu...

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Autors principals:	Bo Li, Qingping Li, Xinzhi Zhou, Mingjiang Deng, Hongbo Ling
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-12-01
Col·lecció:	Hydrology
Matèries:	streamflow forecasting graph attention mechanism transformer model spatio-temporal attention mechanism deep learning (DL) hydrological time series forecasting
Accés en línia:	https://www.mdpi.com/2306-5338/12/12/322
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