Jul 2026
Eliminating Propagation Delay: Attention-Based Spatial-Temporal Fusion Graph Convolution Network for Traffic Flow Prediction
A novel network called the Attention-Based Spatial-Temporal Fusion Graph Convolution Network (A-STFGCN), designed to extract the spatial-temporal feature correlations with propagation delay errors removed and to capture both long-term and short-term temporal characteristics of the data within a multi-head self-attention mechanism based on a mask matrix.
Jinpeng Chen, Ziyue Yu, Tao Wang et al.
· arXiv.org · 0 citations