AMGCN: adaptive multigraph convolutional networks for traffic speed forecasting

被引:0
|
作者
Chenghao Li
Yahui Zhao
Zhenguo Zhang
机构
[1] Yanbian University,Department of Computer Science and Technology
来源
Applied Intelligence | 2024年 / 54卷
关键词
Graph neural networks; Traffic speed forecasting; Multi-graph fusion; Graph structure learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2594 / 2613
页数:19
相关论文
共 50 条
  • [1] AMGCN: adaptive multigraph convolutional networks for traffic speed forecasting
    Li, Chenghao
    Zhao, Yahui
    Zhang, Zhenguo
    [J]. APPLIED INTELLIGENCE, 2024, 54 (03) : 2594 - 2613
  • [2] Graph attention temporal convolutional network for traffic speed forecasting on road networks
    Zhang, Ke
    He, Fang
    Zhang, Zhengchao
    Lin, Xi
    Li, Meng
    [J]. TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 2021, 9 (01) : 153 - 171
  • [3] Spatio-temporal adaptive graph convolutional networks for traffic flow forecasting
    Ma, Qiwei
    Sun, Wei
    Gao, Junbo
    Ma, Pengwei
    Shi, Mengjie
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (04) : 691 - 703
  • [4] Adaptive Spatial-Temporal Fusion Graph Convolutional Networks for Traffic Flow Forecasting
    Li, Senwen
    Ge, Liang
    Lin, Yongquan
    Zeng, Bo
    [J]. 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [5] Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
    Bai, Lei
    Yao, Lina
    Li, Can
    Wang, Xianzhi
    Wang, Can
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NEURIPS 2020), 2020, 33
  • [6] Short-term traffic speed forecasting based on graph attention temporal convolutional networks
    Guo, Ge
    Yuan, Wei
    [J]. NEUROCOMPUTING, 2020, 410 : 387 - 393
  • [7] Graph convolutional networks for traffic forecasting with missing values
    Jingwei Zuo
    Karine Zeitouni
    Yehia Taher
    Sandra Garcia-Rodriguez
    [J]. Data Mining and Knowledge Discovery, 2023, 37 : 913 - 947
  • [8] Traffic Flow Forecasting Based on Bi-directional Adaptive Gating Graph Convolutional Networks
    He W.-W.
    Pei B.-Y.
    Li Y.-T.
    Liu X.-Y.
    Xu S.-B.
    [J]. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2023, 23 (01): : 187 - 197
  • [9] Adaptive Graph Convolutional Recurrent Neural Networks for System-Level Mobile Traffic Forecasting
    Yi Zhang
    Min Zhang
    Yihan Gui
    Yu Wang
    Hong Zhu
    Wenbin Chen
    Danshi Wang
    [J]. China Communications, 2023, 20 (10) : 200 - 211
  • [10] Adaptive graph convolutional recurrent neural networks for system-level mobile traffic forecasting
    Zhang, Yi
    Zhang, Min
    Gui, Yihan
    Wang, Yu
    Zhu, Hong
    Chen, Wenbin
    Wang, Danshi
    [J]. CHINA COMMUNICATIONS, 2023, 20 (10) : 200 - 211