Di-GraphGAN
L. Li, J. Bi, K. Yang, F. Luo, "Di-GraphGAN: An Enhanced Adversarial Learning Framework for Accurate Spatial-Temporal Traffic Forecasting under Data Missing Scenarios", Information Sciences, 2024.
TPB
Z. Liu, G. Zheng, Y. Yu,"Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank", ACM International Conference on Information and Knowledge Management, CIKM 2023, pages 1451-1460, 2023.
MTPB
Z. Liu, G. Zheng, Y. Yu, "Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting", Preprint, 2024.
FEPCross
Z. Liu, J. Ding, G. Zheng, "Frequency Enhanced Pre-training for Cross-City Few-shot Traffic Forecasting", Machine Learning and Knowledge Discovery in Databases, ECML-PKDD 2024, 2024.
PDGM
X. Kong, H Wang, M. Zhang, F. Zhang, “Periodic Decomposition and Feature Enhancement Fusion for Traffic Forecasting”, Engineering Applications of Artificial Intelligence, Volume 146, April 2025.