ASTGCN (S. Guo, China)
S. Guo, Y. Lin, N. Feng, C. Song, H. Wan, "Attention based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting", AAAI Conference on Artificial Intelligence, Volume 33, pages 922-929, 2019.
STAG-GCN (B. Lu, China)
B. Lu, X. Gan, H. Jin, L. Fu, H. Zhang, “Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting”, ACM International Conference on Information, CIKM 2020, pages 1025-1034, October, 2020
DDGCRN (W. Weng, China)
W. Weng, J. Fan, H. Wu, Y. Hu, H. Tian, F. Zhu, J. Wu, "A Decomposition Dynamic Graph Convolutional Recurrent Network For Traffic Forecasting”, Pattern Recognition, Volume 5142, October 2023.
STIDGCN (A. Liu, China)
A. Liu, Y. Zhang, "Spatial–Temporal Dynamic Graph Convolutional Network with Interactive Learning for Traffic Forecasting", IEEE Transactions on Intelligent Transportation Systems, Volume 5, pages 7645-7660, July 2024.
MGCN (W. Lin, China)
W. Lin, Z. Zhang, G. Ren, Y. Zhao, J, Ma, Q. Cao, "MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network For Long-Term Traffic Forecasting", Knowledge-Based Systems, Volume 30930, January 2025.
CPT ()
M. Low, A. Prabowo, H. Xue, F. Salim, “Embedding Spatial Context in Urban Traffic Forecasting with Contrastive Pre-Training”, Preprint, March 2025.
MAGCRN ()
A. Zeb, J. Zheng, Y. Ye, J. Chen, S. Zhang, X. Wei, J. Yu, “Traffic Forecasting with Meta Attentive Graph Convolutional Recurrent Network”, Expert Systems with Applications, May 2025.