HSTGODE
T. Xu, J. Deng, R. Ma, Z. Zhang, Y. Zhao, Z. Zhao, J. Zhang "Hierarchical Spatio-Temporal Graph ODE Networks For Traffic Forecasting", Information Fusion, Volume 113, 2025.
STDDE
Q. Long, Z. Fang, C. Fang, C. Chen, P. Wang , Y. Zho, "Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations", ACM Web Conferences, pages 1035-1044, 2024.
GPDE
T. Bao, H. Wei, J. Ji, D. Work, T. Johnson, "Spatial-Temporal PDE Networks for Traffic Flow Forecasting", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2024, pages 166-182, 2024.
NCDE
Z. Wang, D. Zang,"Continuous Spatial-Temporal Convolutional Networks based Neural Control Differential Equations for Traffic Forecasting", International Conference on Traffic Engineering and Transportation System, ICTETS 2023, pages166-182, 2023.
STG-NRDE
J. Choi, N. Park, "Graph Neural Rough Differential Equations for Traffic Forecastin",g ACM Transactions on Intelligent Systems and Technology, Volume 14, 2024.
ST-DGDE
J. Zhou, X. Qin, Y. Ding, H. Ma, "Spatial–Temporal Dynamic Graph Differential Equation Network for Traffic Flow Forecasting", MDPI Mathematics, Volume 11, 2023.
STHODE
C. Yao, Z. Li, J. Wang "Spatio-Temporal Hypergraph Neural ODE Network for Traffic Forecasting", IEEE International Conference on Data Mining, ICDM 2023, pages 1499-1504, 2023.
GAPDE
G. Almousa, Y. Lee "Traffic Forecasting using Spatio-Temporal Dynamics and Multimodal Attention with Graph Attention PDEs", Preprint, 2024.
GRAM-ODE
Z. Liu, P. Shojaee, C. Redd, "Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting", Preprint, 2023.
CEGNCDE
J. Wu, L. Chen,"Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting", Preprint, 2024.
DM-AGODE
L. Bai, Z. Huang, S. Wang, H. Dai, "Adaptive Correlation Graph Neural Ordinary Differential Equation for Traffic Flow Forecasting ",Engineering Letters, 2023
FedGODE
R. Huthaifi, T. Li, Z. Huda, W. Huang, Z. Luo, P. Xie,"FedGODE: Secure Traffic Flow Prediction based on Federated Learning and Graph Ordinary Differential Equation Networks", Knowledge-Based Systems, Volume 299, September 2024.
D3STN
W. Zhu, X. Zhang, C. Liu, Y. Sun, "D3STN: Dynamic Delay Differential Equation Spatiotemporal Network for Traffic Flow Forecasting", IEEE Transactions on Intelligent Transportation Systems, Volume 25, pages 18093-18106, 2024.
STG-NCDE
J. Choi, H. Choi, J. Hwang, N. Park, “Graph Neural Controlled Differential Equations for Traffic Forecasting”, AAAI Conference on Artificial Intelligence, 2022.
MNDE
Z. Liu, Z. Jiang, S. Chen, "Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting", Preprint, 2024.
AGLRDE
Y. Su, T. Ma, H. Rong, M. Wahab, "Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting", IEEE Transactions on Big Data, March 2025.