Multi-Task Time Series Forecasting Based on Graph Neural Networks

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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Bibliographic Details
Main Authors:	Xiao Han, Yongjie Huang, Zhisong Pan, Wei Li, Yahao Hu, Gengyou Lin
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Entropy
Subjects:	multi-task learning cross-timestep feature sharing dynamic dependency attention mechanism graph neural network
Online Access:	https://www.mdpi.com/1099-4300/25/8/1136

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