STMAG
J. Wang, Q. Chen, H. Gong, "STMAG: A Spatial–Temporal Mixed Attention Graph-based Convolution Model for Multi-Data Flow Safety Prediction", Information Sciences, 2020.
ST-MGAT
K. Tian, J. Guo, K. Yen, C. Xu, "ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting", IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2020, 2020.
GWGR
Z. Cui, R. Ke, Z. Pu, X. Ma, Y. Wang, "Learning Traffic as a Graph: A Gated Graph Wavelet Recurrent Neural Network For Network-Scale Traffic Prediction", Transportation Research Part C, Volume 15, page 102620, 2020.
GMN
Z. Cui,L. Lin, Z. Pu, Y. Wang, "Graph Markov Network for Traffic Forecasting with Missing Data", Transportation Research Part C, Volume 117, page 102671, 2020.
CGProNet
A. Einizade, F. Malliaros, J. Giraldo, "Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks", Preprint, 2024.
CITRUS
A. Einizade, F. Malliaros, J. Giraldo, "Continuous Product Graph Neural Network", Preprint, 2024.
ST-GNNs
S. Shah, P. Doshi, S. Mangle, P. Tawde, V. Sawant, “Traffic Forecasting with Spatio-Temporal Graph Neural Networks”, International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2024, 2024.
HSTGNN
P. Wang, L. Feng, Y. Zhu, H. Wu, “Hybrid Spatial–Temporal Graph Neural Network for Traffic Forecasting”, Information Fusion, Volume 118, June 2025.
FDDSGCN
J. Xu, C. Zhao, J. Yang, Y. Huang, Y. Yang, P. Yee, "FDDSGCN: Fractional Decoupling Dynamic Spatiotemporal Graph Convolutional Network for Traffic Forecasting", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, 2025.
STAGNN
S. Wu, Y. Hu “Traffic Flow Prediction Based on Spatio-Temporal Aggregated Graph Neural Networks”, Transportation Research Record, 2025.
STGFP
Q. Li, F. Wang, C. Wang, "STGFP: Information Enhanced Spatio-Temporal Graph Neural Network For Traffic Flow Prediction", Applied Intelligence, February 2025.
LightST
J. Hu, T. Zheng, L. Peng, F. Teng, S. Du, T. Li, "LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting", IEEE Transactions on Big Data, 2025.
AIMEN
Y. Wang, X. Luo, Z. Zhou, Y. Gao, "AIMEN: A Multi-Expert Network for Traffic Prediction with Accident Impact Learning”, IEEE Internet of Things Journal, April 2025.
ST-CAMBA
X. Wang, J. Cao, T. Zhao, B. Zhang, G. Chen, Z. Li, “ST-CAMBA: A Decoupled-Free Spatiotemporal Graph Fusion State Space Model with Linear Complexity for Efficient Traffic Forecasting”, Preprint, April 2025.
STGL
Z. Zhan, X. Mao, H. Liu, S. Yu, “STGL: Self-Supervised Spatio-Temporal Graph Learning for Traffic Forecasting”, Journal of Artificial Intelligence Research, Volume 2, No. 1, 2025.
QSTGNN
Y. Liu, C. Lin, Y. Mou, H. Jiang, H. Cai, “QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks”, IEEE Transactions on Knowledge and Data Engineering, May 2025.
T-Ripple GNN
X. Ma, “T-Ripple GNN: Predicting Traffic Flow Through Ripple Propagation with Attentive Graph Neural Networks”, PloS one, May 2025.
TRFFC
N. Shabani, A. Beheshti, Y. Qi, V. Haghighi, S. Moradizeyveh, Q. Sheng, “TRFFC: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction”, WWW Companion 2025,2025.
TEDDN
T. Jiang, M. Wu, W. Weng, D. Seng, Y. Lin, “A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting”, Preprint, 2025.
TRFFC
N. Shabani, A. Beheshti, Y. Qi, V. Haghighi, S. Moradizeyveh, Q. Sheng, “TRFFC: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction”, WWW Companion 2025, 2025.
ASTNet
H. Huang, J. Lee, Y. Ge, S. Roh, X. Zhao, “Adaptive Spatial-Temporal Graph Attention Network for Real-Time Traffic Forecasting”, Preprint, 2025.
RDSTGNN
Y. Huang, W. Han, Y. Xie, “Robust Dynamic Spatio-Temporal Graph Neural Network for Traffic Forecasting”, Applied Intelligence, 2025.