Fourier Graph Convolution Network for Time Series Prediction

The spatio-temporal pattern recognition of time series data is critical to developing intelligent transportation systems. Traffic flow data are time series that exhibit patterns of periodicity and volatility. A novel robust Fourier Graph Convolution Network model is proposed to learn these patterns...

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Bibliographic Details
Main Authors: Lyuchao Liao, Zhiyuan Hu, Chih-Yu Hsu, Jinya Su
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/7/1649