Multi-Task Time Series Forecasting Based on Graph Neural Networks

Accurate time series forecasting is of great importance in real-world scenarios such as health care, transportation, and finance. Because of the tendency, temporal variations, and periodicity of the time series data, there are complex and dynamic dependencies among its underlying features. In time s...

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Detalles Bibliográficos
Autores principales: Han, Xiao, Huang, Yongjie, Pan, Zhisong, Li, Wei, Hu, Yahao, Lin, Gengyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453913/
https://www.ncbi.nlm.nih.gov/pubmed/37628166
http://dx.doi.org/10.3390/e25081136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453913/
https://www.ncbi.nlm.nih.gov/pubmed/37628166
http://dx.doi.org/10.3390/e25081136

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