Dynamic graph neural network with adaptive edge attributes for air quality prediction: A case study in China

Air quality prediction is a typical Spatiotemporal modeling problem, which always uses different components to handle spatial and temporal dependencies in complex systems separately. Previous models based on time series analysis and recurrent neural network (RNN) methods have only modeled time serie...

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Detalles Bibliográficos
Autores principales: Xu, Jing, Wang, Shuo, Ying, Na, Xiao, Xiao, Zhang, Jiang, Jin, Zhiling, Cheng, Yun, Zhang, Gangfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345359/
https://www.ncbi.nlm.nih.gov/pubmed/37456022
http://dx.doi.org/10.1016/j.heliyon.2023.e17746

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345359/
https://www.ncbi.nlm.nih.gov/pubmed/37456022
http://dx.doi.org/10.1016/j.heliyon.2023.e17746

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