STFGNN (M. Li, China)
M. Li, Z. Zhu, Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting, AAAI Conference on Artificial Intelligence, 2021.
J. Choi, H. Choi,J. Hwang, N. Park, “Graph Neural Controlled Differential Equations for Traffic Forecasting”, AAAI Conference on Artificial Intelligence, 2022.
DSTAGNN (S. Lan, China)
S. Lan, Y. Ma, W. Huang, W. Wang, H. Yang, P. Li, "DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting", International Conference on Machine Learning, PMLR 162:11906-11917, 2022.
D2STGNN ()
Z. Shao, Z. Zhang, W. Wei, F. Wang, Y. Xu, X. Cao, C. Jensen, “Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting”, VLDB 2022, Volume 15, No. 11, pages 2733-2746, 2022.
USTGCN (A. Roy)
A. Roy, K. Roy, A. Ali, M. Amin, A. Rahman, "Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network”, International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, 2021.
MegaCRN ()
R. Jiang, Z. Wang, J. Yong, P. Jeph, Q. Cheng, Y. Kobayashi, X. Song, S. Fukushima, T. Suzumura, “Spatio-temporal Meta-Graph Learning For Traffic Forecasting”, AAAI Conference on Artificial Intelligence, Volume 37, 2023.
ST-SSL (J. Ji, China)
J. Ji, J. Wang, C. Huang, J. Wu, B. Xu, Z. Wu, J. Zhang, Y. Zheng “Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction”, AAAI Conference on Artificial Intelligence, 2023.
LSTNN ()
D. Wang, G. Guo, T. Ouyang, D. Yu, H. Zhang, B. Li , "A Lightweight Spatio-Temporal Neural Network with Sampling-Based Time Series Decomposition for Traffic Forecasting”, IEEE Transactions on Intelligent Transportation Systems, 2025.