TL-DCRNN
T. Mallick, P. Balaprakash, E. Rask, J. Mac Farlane “Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting”, International Conference on Pattern Recognition, ICPR 2021, pages 367-374, Milan, Italy, 2021.
TEEPEE
Y. Huang, X. Song, S. Zhang, J. Yu, "Transfer Learning in Traffic Prediction with Graph Neural Networks", IEEE International Intelligent Transportation Systems Conference, ITSC 2021, pages 3732-3737, Indianapolis, USA, 2021.
CrossTReS
Y. Jin, K. Chen, Q. Yang, “Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting”, KDD 2022, 2022.
TransGTR
Y. Jin, K. Chen, Q. Yang, T. Suzumur, "Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities", ACM Conference on Knowledge Discovery and Data Mining, KDD 2023, Volume 37, pages 1032-1043, 2023.
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.
STF
T. Kawabata, H. Toda, "Exploring of STGNN for Traffic Forecasting at Expanding Traffic Network", Database and Expert Systems Applications, 2024.
Cross-IDR
B. Yang, R. Li, Y. Wang, S. Xiang, S. Zhu, C. Dai, S. Dai , B. Guo, "Cross-city Transfer Learning for Traffic Forecasting via Incremental Distribution Rectification", Knowledge-Based Systems, March 2025.