The following publications are possibly variants of this publication:
- Spatio-Temporal Identity Multi-Graph Convolutional Network for Traffic Prediction in the MetaverseHaihan Nan, Ruidong Li, Xiaoyan Zhu 0005, Jianfeng Ma 0001, Kaiping Xue. jsac, 42(3):669-679, March 2024. [doi]
- Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic ForecastingZibo Liu, Parshin Shojaee, Chandan K. Reddy. tmlr, 2023, 2023. [doi]
- Multi-graph spatio-temporal network for traffic accident risk forecastingGuojian Zou, Zhiyong Zhou, Robert Weibel, Ye Li, Ting Wang, Zongshi Liu, Weiping Ding 0001, Cheng Fu. PR, 172:112784, 2026. [doi]
- Integrating query data for enhanced traffic forecasting: A Spatio-Temporal Graph Attention Convolution Network approach with delay modelingZekun Qiu, Zhipu Xie, Zehua Ji, Xu Liu, Gang Wang. kbs, 301:112315, 2024. [doi]
- Spatio-temporal tree attention network for forecasting traffic flowHaoran Li 0021, Zhiqiang Lv, Zhaobin Ma, Jianbo Li, Xiaolong Ma, Dongxin Sun, Kangxin Guo, Jun Liu. ijon, 676:133032, 2026. [doi]
- Advancing complex urban traffic forecasting: A fully attentional spatial-temporal network enhanced by graph representationGuangyue Li, Jinghan Wang, Zilong Zhao, Yang Chen 0015, Luliang Tang, Qingquan Li. aeog, 134:104237, 2024. [doi]