ConstGat
X. Fang, J. Huang, F. Wang, L. Zeng, H. Liang, H. Wang, "ConstGat: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps", ACM International Conference on Knowledge Discovery and Data Mining, SIGKDD 2020, pages 2697–2705, 2020.
GR-FAST
G. Li, J. Wang, Z. Zhao, Y. Chen, L. Tang, Q. Li, "Advancing Complex Urban Traffic Forecasting: A Fully Attentional Spatial-Temporal Network Enhanced by Graph Representation", International Journal of Applied Earth Observation and Geoinformation, Volume 134, 2024.
TFM-GCAM
J. Chen, L. Zheng , Y. Hu, W. Wang, H. Zhang, X. Hu, "Traffic Flow Matrix-based Graph Neural Network with Attention Mechanism For Traffic Flow Prediction", Information Fusion, Volume 104, April 2024.
TRASNet
M. Li, X. Ta, C. Chen, "TRASNet : A lightweighting Spatio-temporal Attention Network for Traffic Flow Prediction", International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, 2024.
HMIAN
J. Sun, M. Peng, H. Jiang, Q. Hong, Y. Sun, "HMIAN: a Hierarchical Mapping and Interactive Attention Data Fusion Network for Traffic Forecasting", IEEE Internet of Things Journal, Volume 9, pages 25685-25697, 2022.
DFAGCN
Y. Liu, X. Wu, Y. Tang, X. Li, D. Sun, L. Zheng, "Decomposition with Feature Attention and Graph Convolution Network For Traffic Forecasting", Knowledge-Based Systems, 2024.
STBGAT
D. Lakmal, K. Perera, R. Borovica-Gajic, S. Karunasekera, "Spatial-Temporal Bipartite Graph Attention Network for Traffic Forecasting", Knowledge Discovery and Data Mining, April 2024.
DAGCAN
Q. Yuan, J. Wang, Y. Han, Z. Liu, W. Liu, "DAGCAN: Decoupled Adaptive Graph Convolution Attention Network for Traffic Forecasting", IEEE Transactions on Intelligent Transportation Systems, 2025.
MSTC-GAT
J. Liu, Y. Wang, J. Zhu, W. Bai, H. Zhang, L. Zuo "A Multilayer Spatiotemporal Correlation-Aware Graph Attention Network for Traffic Flow Prediction”, IEEE Transactions on Neural Networks and Learning Systems, 2025.
M-STGAT
S. Islam, A. Huang, M. Filipovska, "Transferable Traffic State Forecasting using Meta-Learning with a Multi-Dimensional Spatio-Temporal Graph Attention Model”, Transportation Research Record: Journal of the Transportation Research Board, 2025.
DynamicChebNet
J. Zhang, J. Cheng, F. Li, "Traffic flow prediction based on temporal attention and multi-graph adjacency fusion using DynamicChebNet”, Scientific Reports, 2025.
OTST
Z. Li, W. Zhang, "OTST: an optimal transport based spatial-temporal graph attention model for traffic flow prediction”, Cluster Computing, 2025.
WGABN
S. Arunachalam, “Long-term and short-term traffic flow prediction with different weather conditions using optimized wheel-graph attention based neural network”, Future Generation Computer Systems, 2026.