DGCNN
Z. Diao, X. Wang, D. Zhang, Y. Liu, K. Xie, S. He, "Dynamic Spatial-Temporal Graph Convolutional Neural Networks For Traffic Forecasting", AAAI Conference on Artificial Intelligence, 2019.
DST-GCNN
K. Chen, F. Chen, B. Lai, Z. Jin, Y. Liu, K. Li,"Dynamic Spatio-Temporal Graph-based CNNs for Traffic Flow Prediction", IEEE Access, pages185136–185145, 2020.
STDE-DGCN
W. Zhang, K. Zhu, S. Zhang, Q. Chen, J. Xu, "Dynamic Graph Convolutional Networks based on Spatiotemporal Data Embedding for Traffic Flow Forecastin"g, Knowledge-Based Systems, Volume 216, page 109028, 2022.
DDGCRN
W. Weng, J. Fan, H. Wu, Y. Hu, H. Tian, F. Zhu, J. Wu, "A Decomposition Dynamic Graph Convolutional Recurrent Network For Traffic Forecasting", Pattern Recognition, Volume 5142, October 2023.
DMGAN
R. Li, F. Zhang, T. Li N. Z,hang, T. Zhang, "DMGAN: Dynamic Multi-Hop Graph Attention Network for Traffic Forecasting', IEEE Transactions on Knowledge and Data Engineering, Volume 35,2023.
DMGSTCN
Y. Qin, X. Tao, Y. Fang, H. Luo, F. Zhao, C. Wan, "DMGSTCN: Dynamic Multigraph Spatio–Temporal Convolution Network for Traffic Forecasting", IEEE Internet of Things Journal, Volume 11, No. 12, 2024.
FDST-GCN
J. Zhang, C. Song, S. Cao, C. Zhang, "FDST-GCN: A Fundamental Diagram based Spatiotemporal Graph Convolutional Network For Expressway Traffic Forecasting", Physica A: Statistical Mechanics and its Applications, Volume 630, 2023.
iDCGCN
L. Liao, Z. Hu, Y. Zheng, S. Bi, F. Zou, H. Qiu, M. Zhang, "An Improved Dynamic Chebyshev Graph Convolution Network For Traffic Flow Prediction with Spatial-Temporal Attention", Applied Intelligence, pages 1-13, 2022.
MW-TGC
Y. Shin, Y. Yoon, "Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting", IEEE Transactions on Intelligent Transportation Systems, Volume 23, No. 3, pages 2082-2092, March 2022.
ADGCN
E. Isufi, G. Mazzola, "Graph-Time Convolutional Neural Networks", IEEE Data Science and Learning Workshop, 2021.
Dynamic GCN
R. Wen, D. Liang, "Spatio-Temporal Traffic Prediction Under Multi-Scale Dynamic Convolution", IEEE International Conference on Computer and Communications, ICCC 2024, Chengdu, China, 2024.
STIDGCN
A. Liu, Y. Zhang, "Spatial–Temporal Dynamic Graph Convolutional Network with Interactive Learning for Traffic Forecasting", IEEE Transactions on Intelligent Transportation Systems, Volume 5, pages 7645-7660, July 2024.
MDGCRN
J. Xiao, W. Zhang, W. Weng, Y. Zhou, Y. Cong, “Multi-Scale Fusion Dynamic Graph Convolutional Recurrent Network For Traffic Forecasting”, Cluster Computing, Volume 28, Issue 3, June 2025.
DDMGCRN
L. Hu, L. Wei, Y. Lin, “Decomposition Dynamic Multi-Graph Convolutional Recurrent Network for Traffic Forecasting”, Applied Intelligence, 2025.
ASTCL
X. Li, Y. Zhang, G. Long, Y. Hu, W. Lu, M. Chen, "Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach", IEEE Transactions on Knowledge and Data Engineering, May 2025.
FGCN
L. Wang, J. Zhuang, S. Ma, H. Lin, "Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting", IEEE Access, June 2025.
MDGCN
Z. Zhang, T. Ge, L. Feng, “Multi-Scale Dynamic Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting”, International Conference on Intelligent Computing, July 2025.
DS-SGCHN
Y. Cheng, S. Bao, H. Ke, J. Chen, M. Liu, “DS-SGCHN:Dynamic-Static Synergetic Graph Convolutional Hierarchical Network for Traffic Forecasting”, Measurement Science and Technology, September 2025.
DDAMGCN
G. Zhu, X. Zhang, Y. Niu S. Du, "Multiscale Spatiotemporal Graph Convolutional Networks With Dynamic Delay Awareness for Traffic Forecasting”, IEEE Transactions on Neural Networks and Learning Systems, 2025.
Pdg2seq
J. Fan, W. Weng, Q. Chen, H. Wu, J. Wu, “Pdg2seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction”, Neural Networks, 2025.
DADGG
H. Sang, M. Yang, L. Wang, “Spatio-Temporal Dynamic Masking and Direction-Aware Dynamic Graph Convolution For Traffic Prediction”, Transportmetrica A: Transport Science, 2025.
STDIINet
J. Ji, H. Dong, X. Zhang, “A Seasonal-Trend Dynamic Interactive Integration Network for Traffic Forecasting”, International Conference on Neural Information Processing, ICONIP 2025, 2025.
DGDS-GCN
S. Li, Y. Zhang, X. Pan, Y. Gang, “Traffic Flow Prediction for Holiday-Workday Differences: A Deep Model Incorporating Dual-Graph Structure and Dynamic Sensing of Key Nodes”, Concurrency and Computation: Practice and Experience, 2025.
MDTRGCN
Z. Wu, X. Liu, X. Zhang, “Multi dynamic temporal representation graph convolutional network for traffic flow prediction”, Scientific Reports, 2025.
MS-DSTSN
X Zhang, Q Ren, C Li, W Peng, "Multi-Scale Dynamic Spatio-Temporal Graph Trend Seasonality Network for Traffic Flow Forecasting", Science and Technology, 2025.
PT-TDGCN
H Yang, S Wei, Y Wang, “PT-TDGCN: Pre-Trained Trend-Aware Dynamic Graph Convolutional Network for Traffic Flow Prediction”, MDPI Sensors, 2025.
ADGCN
C. Wei, C. Chen, X. Wu, D. Pan, Q. Yu, X. Zheng, Y. Luo, “Attention Dynamic Graph Convolutional Network for Traffic Flow Prediction” Engineering Applications of Artificial Intelligence, Volume 163, January 2026.
DSSTN
Y. Yang, C. Xu, Y. Zhu, M. Li, P. Liu, "DSSTN: Dynamic Selective Spatio-Temporal Modeling Network for Traffic Flow Prediction”, Expert Systems with Applications, Volume 299, March 2026.