共 50 条
- [1] Repair method for traffic flow fault data based on spatial-temporal correlation Liu, Meng-Yi (663112954@qq.com), 1727, Zhejiang University (51): : 1727 - 1734
- [3] Traffic flow forecasting based on lightweight spatial-temporal graph convolution networks model Journal of Railway Science and Engineering, 2022, 19 (09): : 2552 - 2562
- [6] Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (03): : 4343 - 4361
- [7] Multi-Attention Based Spatial-Temporal Graph Convolution Networks for Traffic Flow Forecasting 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
- [8] Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 4189 - 4196
- [9] Based Matrix Fusion Spatial-Temporal Graph Neural Network for Traffic Flow Prediction PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023, 2023, : 1171 - 1175