DHAT
X. Luo, J. Peng, J. Liang, "Directed Hypergraph Attention Network for Traffic Forecasting", IET Intelligent Transport Systems, Volume 16, No 1, pages 85-98, 2022.
ALGHGCN
Y. Zhao, F. Ding, H. Tan, “Attention-based Local-Global Hypergraph Convolutional Network for Traffic Flow Forecasting”, CICTP 2024, December 2024.
PAHN
W. Zhao, G. Yuan, R. Bing, "Periodicity Aware Spatial-Temporal Adaptive Hypergraph Neural Network for Traffic Forecasting", Geoinformatica, 2024.
HMSG
J. Wang, Y. Zhang, Y. Hu, B. Yin, “Large-Scale Traffic Prediction with Hierarchical Hypergraph Message Passing Networks”, IEEE Transactions on Computational Social Systems, pages 1-11, 2024.
Res-DSTHGCN
J. Su, H. Wang, K. Przystupa, O. Kochan, D.Liu, “Dynamic Spatio-Temporal Residual Hypergraph Convolutional Networks for Traffic Flow Forecasting”, Transportation Research Record: Journal of the Transportation Research Board, January 2025.
T-MPHN/T-HGLNN
K. Tang, T. Guo, Y. Zhou, Y. Chen, “Hypergraph Convolution Network for Urban Traffic Forecast Incorporating High-Order and Multi-Modal Semantic Correlations”, Expert Systems with Applications, Volume 290, September 2025.
HR-DHAN
M. Mao, Y. Han, B. Wang, “Hybrid-relation dynamic hypergraph attention network for traffic flow prediction”, Knowledge Based Systems, 2025.
MSTHCN
J. Chen, M. Shan, “Dynamic Multi-Relation Learning with Multi-Scale Hypergraph Transformer for Multi-Modal Traffic Forecasting”, MDPI Future Transportation, 2026.
DHMPN
S. Hao, X. Zhao, J. Wang, X. Gong, "Efficient Directed Hypergraph Network for Unsupervised Traffic Anomaly Detection", IEEE Intelligent Transportation Systems Magazine, Volume 18, No. 2, April 2026,