Hybrid spatial-temporal graph neural network for traffic forecasting

Peng Wang, Longxi Feng, Yijie Zhu, Haopeng Wu

Abstract: Highlights•HSTGNN: A model capturing long- and short-term temporal patterns.•Dual channel module for nonlinear temporal feature extraction.•Proposed a graph learning approach to capture dynamic spatial correlations.•Better predictive accuracy than existing methods.