STGCN
B. Yu, H. Yin, Z. Zhu, "Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting, International Joint Conference on Artificial Intelligence, pages 3634-3640, 2018.
SLCNN
Q. Zhang, J.Chang, G. Meng, S. Xiang, C. Pan, "Spatio-Temporal Graph Structure Learning For Traffic Forecasting", AAAI Conference on Artificial Intelligence, 2020.
ST-GCN
A. Agafonov, "Traffic Flow Prediction using Graph Convolution Neural Networks", International Conference on Information Science and Technology, ICIST 2020, 2020.
TSSRGCN
C. Chen, K. Li, S. Teo, X. Zou, K. Wang, J. Wang, "TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting", IEEE International Conference on Data Mining, ICDM 2020, 2020.
LSTGCN
Z. Gou, Y. Shen, S. Chen, "Lanczos Method For Spatio-Temporal Graph Convolutional Networks to Forecast Expressway Flow", IET Intelligent Transport Systems, Volume 17, pages 1979-1991, 2023.
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.
MS-STGCN
W. Zhang, P. Tang, "Multi-Segment Fusion-Enhanced Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction", IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024, Kuching, Malaysia, 2024.
DR-STSGCN
G. Ren and D. Mei, "Traffic Flow Prediction Based on Dropout Regularization and Spatial-Temporal Synchronous Graph Convolutional Networks", IEEE International Conference on Next Generation Data-driven Networks, NGDN 2024, pp. 424-427, Henyang, China, 2024.
TDG
M. Yang, "Traffic Flow Prediction Optimization Model Based on Convolutional Neural Network of Time-Domain Graph", IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024, Changchun, China, 2024.
PaSTG
X. He, Y. Hu, Q. Liao, H. Xiong, W. Yang, K. Li, "PaSTG: A Parallel Spatio-Temporal GCN Framework for Traffic Forecasting in Smart City", ACM Transactions on Sensor Networks, pages 235–245, March 2024.
STFCDNN
P. Liu, Y. Zhu, Y. Yang, C. Wang, M. Li, H. Cong, G. Zhao, H. Yang, "A Novel Spatio-Temporal Feature Interleaved Contrast Learning Neural Network From A Robustness Perspective", Knowledge-Based Systems, Volume 30930, January 2025.
D-MGDCN-CLSTM
L. Zhang, S. Xu, S. Li, L. Pan, S. Gong, "D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory," MDPI Sensors, Volume 25, Issue 2, January 2025.
SDSINet
S. Yang, Q. Wu, "SDSINet: A Spatiotemporal Dual-Scale Interaction Network For Traffic Prediction”, Applied Soft Computing, Volume 173, April 2025.
PGCRN
X. Rao, S. Shang, R. Jiang, L. Chen, P. Han, "Traffic Forecasting with Patch-Based Graph Convolutional Recurrent Network", GeoInformatica, April 2025.
DBAG-GCN
X. Wang, J. Lv, P. Cheng, M. Alassafi, F. Alsaadi, B. Parameshachari, L. Zou, "Deep Bi-Directional Adaptive Gating Graph Convolutional Networks for Spatio-Temporal Traffic Forecasting", Tsinghua Science and Technology, Volume 30, No. 5, pages 2060-2080, October 2025.
WEST GCN-LSTM
T. Theodoropoulos, A. Maroudis, U. Zdun, A. Makris,K. Tserpes, “WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting”, International Journal of Information Management Data Insights, Volume 5, Issue 1, June 2025.
TEDDCF
Y. Xu, L. Wei, L. Feng, “A Spatial-Temporal Trend-Event Decoupling Dual-Channel Framework for Traffic Flow Prediction”, Expert Systems with Applications, 2025.
STLagGCN
J. Zhao, J. Liu, S. Han, Y. Chen, J. Zhou, “STLagGCN: A Spatial-Temporal Lagged Graph Convolution Network for Traffic Forecasting”, International Conference on Advanced Robotics, Control, and Artificial Intelligence, ICARCAI 2024, pages 326-338, 2024.
FasterSTS
B. Dai, N. Lyu, Y. Miao, “FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting”, Preprint, January 2025.
TIIDGCN
S. Yang, Q. Wu, M. Li, Y. Sun, "Temporal Identity Interaction Dynamic Graph Convolutional Network for Traffic Forecasting", IEEE Internet of Things Journal, Volume 12, No. 11, pages 15057-15072, June 2025 .
IDMixer
K. Wu, S. Zhang, Y. Liu, “IDMixer: Decomposition Spatial-Temporal Identity for Traffic Flow Forecasting”, International Conference on Intelligent Computing, pages 120-131, July 2025.
STFDGCN
L. Hu, L. Wei, Y. Lin, "Spatio-Temporal Fourier Dynamic Graph Convolution Network for Traffic Forecasting", International Journal of Machine Learning and Cybernetics, 2025.
Cast-GCR2N
M. Amintoosi, H. Mehrbagherpour, M. Arashi, “Cast-GCR2N: Causality-Aware Spatiotemporal Graph Convolution Residual Recurrent Network for Traffic Forecasting”, Preprint, 2025.
MESIGCN
S. Wei, D. Hu, X. Xu, C. Wang, “MESIGCN: Multi-scale Equidistant Spatio-temporal Graph Convolution Networks”, ICMLC 2025, 2025.
CISTCN
J. Ye, C. Li, F. Zhang, "Global Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy", SSRN 2025, 2025.
PSIRAGCN
X. Ji, C. Yan, J. Yuan, F. Zhao, “Graph Convolutional Network with Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting”, Preprint, 2025.
TopK GCN
W. Zhang, D. Hu, “TopKNet: Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting”, ACM International Conference on Information and Knowledge Management, CIKM 2025, 2025.
SINCGNNBSC
W. Jiang, M. Zhao, H. Li, H. Qiao, "Spatiotemporal Interactive Neighborhood Convolutional Graph Neural Network based on Semantic Clustering for Traffic Forecasting”, Preprint, 2025.
PSTCGCN
S. Yang, Q. Wu, Z. Li, K. Wang, “PSTCGCN: Principal Spatio-Temporal Causal Graph Convolutional Network for Traffic Flow Prediction”, Neural Computing and Applications, 2025.
DSGC-PSSA
L. Chen, L. Chen, H. Wang, “Decoupled Spatiotemporal Graph Convolution With Probabilistic Sparse Self-Attention for Traffic Flow Forecasting”, Transportmetrica B: Transport Dynamics, 2025.
LOGO
H. Chi, Y. Lu, C. Xie, W. Ke, B. Chen, “Spatio-Temporal Attention Based Collaborative Local–Global Learning for Traffic Flow Prediction”, Engineering Applications of Articial Intelligence, Volume 139, 2025.
LASTGCN
Y. Zhang, W. Xu, B. Ma, D. Zhang, F. Zeng, J. Yao, "Linear Attention based Spatiotemporal Multi Graph GCN for Traffic Flow Prediction”, Scientific Reports, 2025.
DSTF
X. Wang, X. Wang, F. Huang, F. Zou, L. Liao, R. Zeng, “DSTF: A Diversified Spatio-Temporal Feature Extraction Model for traffic flow prediction”, Neurocomputing, 2025.
DSTSPYN
X. Wang, F. Chen, B. Jin, M. Lin, F. Zou, R. Zeng, "DSTSPYN: A Dynamic Spatial-Temporal Similarity Pyramid Network for Traffic Flow Prediction", Applied Intelligence, 2025.
Spiking-STGCN
Z. Cao, H. Xu, H. Yu, "Spiking-STGCN: A Lightweight Spiking Spatio-Temporal Graph Convolutional Network Model for Urban Traffic Flow Prediction", IEEE International Joint Conference on Information and Communication Engineering, IJCICE 2024, Harbin, China, 2025.
SFADNet
M. Wu, W. Weng, J. Li, Y. Lin, J. Chen, D. Seng, "SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, 2025.
ModuNet
T. Zhang, Y. Chen, D. Wu, K. Zhu, "ModuNet: A Modulated Graph-Token Network for Spatio-Temporal Traffic Flow Forecasting”, IEEE Access, 2025.
DSSA-TCN
Z. Zhang, X. Wang, X. Tan, J. Pi, “DSSA-TCN: Exploiting Adaptive Sparse Attention and Diffusion Graph Convolutions In Temporal Convolutional Networks for Traffic Flow Forecasting”, PLOS, 2025.
STMI-GCN
Z. Cui, Z. Nie, X. Lu "Prediction of Highway Traffic Flow based on Multilevel Spatio-Temporal Graph Convolutional Network", International Conference on Image Processing, Intelligent Control, and Computer Engineering, IPICE 2025, 2025.
QTA- H2STGCN
Z. Sui, Z. Zhang, R. Wang, K. Li, Y. Pan, “Quantum-Transformer Integration in H2STGCN: A Novel Approach For Spatiotemporal Pattern Modeling”, Applied Intelligence, 2025.
DC-GCN
Y. Pan, H. Wang, M. Ma, P. Wang, “Enhancing Spatial-Temporal Prediction Models with Dynamic Causal Graphs”, ACM Transactions on Spatial Algorithms and Systems, 2025.
KE-STCN
J. Cao, X. Sheng, B. Yang, Z. Duan, “KE-STCN: An adaptive multi-scale traffic flow prediction method based on knowledge graph”, Neurocomputing, 2026.