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2025	sAMDGCN: sLSTM-Attention-Based Multi-Head Dynamic Graph Convolutional Network for Traffic Flow Forecasting Mathematics Shiyuan Zhang, Yanni Ju, Weishan Kong, Hong Qu, Liwei Huang
2025	A Self‐Attention Enhanced Hypergraph Convolution Network for Traffic Speed Forecasting IET Intelligent Transport Systems Yapeng Qi, Xia Zhao, Zhihong Li, Bo Shen
2025	Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
2025	A physics-informed machine learning framework for speed-flow prediction: Integrating an S-shaped traffic stream model with deep learning models Transportation Research Part C: Emerging Technologies Feng Shao, Hu Shao, Xin Wu, Qixiu Cheng, William H.K. Lam
2025	Dynamic Hypergraph Neural Networks for Flotation Condition Recognition Based on Group-View Composite Features IEEE Transactions on Instrumentation and Measurement Shuai Wang, Kang Wang, Xiaoli Li
2024	Transformer model-based multi-scale fine-grained identification and classification of regional traffic states PeerJ Computer Science Jun Zhang, Guangtong Hu
2024	Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit Expert Systems with Applications Jinxin Wu, Deqiang He, Zhenzhen Jin, Xianwang Li, Qin Li, Weibin Xiang
2024	Dynamic Spatio-Temporal Hypergraph Convolutional Network for Traffic Flow Forecasting Electronics Zhiwei Ye, Hairu Wang, Krzysztof Przystupa, Jacek Majewski, Nataliya Hots, Jun Su
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