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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |