LCDFormer
J. Cai, C. Wang, K. Hu, "LCDFormer: Long-Term Correlations Dual-Graph Transformer For Traffic Forecasting", Expert Systems with Applications, Volume 249, September 2024.
TSGDC
S. Wei, Y. Yang, L. Liu, K. Deng, C. Wang, "Transformer-based Spatiotemporal Graph Diffusion Convolution Network for Traffic Flow Forecasting", MDPI Electronics, Volume 13, 2024.
GSTRGCT
L. Xiong, L. Su, S. Zeng, X. Li, T. Wang, F. Zhao, "Generalized Spatial–Temporal Regression Graph Convolutional Transformer For Traffic Forecasting", Complex and Intelligent Systems, Volume 10, pages 7943-7964, 2024.
CASTNet
Z. Chen, S. Zhao, J. Zeng, S. Dong, G. Zu, "CASTNet: Convolution Augmented Graph Sampling Transformer Network for Traffic Flow Forecasting", IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024, pages 1292-1297, 2024.
STFT
Z. Wang, Y. Wang, F. Jia, F. Zhang, N. Klimenko, L. Wang, “Spatiotemporal Fusion Transformer for Large-Scale Traffic Forecasting”, Information Fusion, Volume 107, July 2024.
MixGT
Q. Lai, P. Chen, “Unveiling Node Relationships for Traffic Forecasting: A Self-Supervised Approach with MixGT”, Information Fusion, 2025.
FDGT
D. Bai, D. Xia, X. Wu, D. Huang, Y. Hu, Y Tian, W. Ou, Y. Li, H. Li, “Future-Heuristic Differential Graph Transformer for Traffic Flow Forecasting”, Information Sciences, Volume 701, May 2025.
ST-Graphormer
Z. Wang, Y. Hu, R. Zhong, B. Hu, D. Cheng, Y. Feng, J. Tan, “ST-Graphormer: Spatio-Temporal Graph Transformer for End-To-End Traffic Forecasting”, The Journal of Supercomputing, May 2025.
DCH-GT
S. Pang, M. Qiu, X. Li, W. Xiu, “DCH-GT: Traffic Forecasting Via Deep Coupled Heterogeneous Feature Graph Transformer”, SSRN 2025, June 2025.
DynaGraph
J. Ouyang, Y. Zhu, H. Deng, J. He, D. Wu, “DynaGraph: Towards Dynamic Graph Learning for Multi-scale Traffic Generation with Spatial-temporal Agent Framework”, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 9, No. 3, Article 120, September 2025.