BigST
J. Han, W. Zhang, H. Liu, T. Tao, N. Tan, H. Xiong, "BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks", International Conference on Very Large Databases, VLDB 2024, May 2024.
ST-MLP
J. Han, W. Zhang, H. Liu, T. Tao, N. Tan, H. Xiong, "ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting", Preprint, 2023.
VQGG
S. Ke, C. Wu, J. Guo, J. Zhang, Y. Zhe, "VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator", International Joint Conference on Neural Networks, IJCNN 2024, 2024.
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.
QuoGNN
X. Gou, “Explainability and Efficiency in Spatio-Temporal Models: Applications to Traffic Forecasting”, PhD Thesis, King Abdullah University of Science and Technology Thuwal, Kingdom of Saudi Arabia, 2025.
ST-GACN
S. Chauhan, J. Singh, A. Bairwa, "ST-GACN: A Lightweight Spatio Temporal Graph Attention Model with Online Adaptation for Real Time Congestion Forecasting", IEEE Access, October 2025.
RoAA
M. Choi, “Towards Continual Traffic Forecasting: Online Adaptation of Graph Structures for Evolving Traffic Patterns”, Master Thesis, Seoul National University, 2025