Gdformer:A Graph Diffusing Attention Based Approach for Traffic Flow Prediction

被引:0
|
作者
Su, Jie [1 ]
Ren, Jie [2 ]
Yang, Jiandang [1 ]
Liu, Yong [1 ]
机构
[1] Department of Control, Zhejiang University, Hangzhou,310027, China
[2] Research center for Intelligent Perception and Cntrol, Huzhou Institute of Zhejiang University, Huzhou,313000, China
来源
SSRN | 2022年
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Backpropagation - Benchmarking - Diffusion - Flow graphs - Forecasting
引用
收藏
相关论文
共 50 条
  • [21] TrafficSCINet: An Adaptive Spatial-Temporal Graph Convolutional Network for Traffic Flow Forecasting
    Gong, Kai
    Han, Shiyuan
    Yang, Xiaohui
    Yu, Weiwei
    Guan, Yuanlin
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 14086 LNCS : 628 - 639
  • [22] Semi-dynamic spatial–temporal graph neural network for traffic state prediction in waterways
    Li, Le
    Pan, Mingyang
    Liu, Zongying
    Sun, Hui
    Zhang, Ruolan
    Ocean Engineering, 293
  • [23] Text Classification Based on Graph Convolution Neural Network and Attention Mechanism
    Zhai, Sheping
    Zhang, Wenqing
    Cheng, Dabao
    Bai, Xiaoxia
    ACM International Conference Proceeding Series, 2022, : 137 - 142
  • [24] Dts-Adapstnet: An Adaptive Spatiotemporal Neural Networks for Traffic Prediction with Mulit-Graph Fusion
    Zhang, Jing
    Shi, Wenlong
    Ye, Xiucai
    Tsai, Peiwei
    SSRN, 2023,
  • [25] Dts-Adapstnet: An Adaptive Spatiotemporal Neural Networks for Traffic Prediction with Mulit-Graph Fusion
    School of Computer Science and Mathematics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China
    不详
    1600,
  • [26] Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction
    Yao, Shuanglong
    Pi, Dechang
    Chen, Junfu
    Liu, Yufei
    Wu, Zhiyuan
    arXiv, 2022,
  • [27] Environment modeling approach based on simplified visibility graph
    Zhang, Q. (hitzhangqi@126.com), 1600, Northeast University (34):
  • [28] A graph-based approach for designing extensible pipelines
    Rodrigues, Maíra R.
    Magalhães, Wagner C.S.
    Machado, Moara
    Tarazona-Santos, Eduardo
    BMC Bioinformatics, 2012, 13 (01)
  • [29] Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
    Xing, Hao
    Burschka, Darius
    arXiv, 2022,
  • [30] Hyperspectral image classification with localized spectral filtering-based graph attention network
    Pu, S.
    Song, Y.
    Chen, Y.
    Li, Y.
    Zhang, J.
    Lin, Q.
    Zhu, X.
    Chen, Y.
    Zeng, H.
    Liao, K.
    Yu, H.
    Yuan, J.
    Yu, S.
    Zuo, W.
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, 5 (03) : 155 - 161