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3D Graph Convolutional Networks with Temporal Graphs: A Spatial
  Information Free Framework For Traffic Forecasting

3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting

3 March 2019
Ting Yu
Mengzhang Li
Jiyong Zhang
Zhanxing Zhu
    AI4TS
    GNN
ArXivPDFHTML

Papers citing "3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting"

10 / 10 papers shown
Title
Spatial-temporal traffic modeling with a fusion graph reconstructed by
  tensor decomposition
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li
Xu Yang
Yong Wang
Yuankai Wu
Deqiang He
41
10
0
12 Dec 2022
Rethinking The Memory Staleness Problem In Dynamics GNN
Rethinking The Memory Staleness Problem In Dynamics GNN
Mor Ventura
Hadas Ben-Atya
Dekel Brav
13
0
0
06 Sep 2022
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal
Liheng Ma
Yingxue Zhang
Mark J. Coates
BDL
AI4TS
31
22
0
10 Jun 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
16
498
0
13 Mar 2021
Coupled Layer-wise Graph Convolution for Transportation Demand
  Prediction
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
GNN
AI4TS
18
148
0
15 Dec 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
37
629
0
18 Jun 2020
Constructing Geographic and Long-term Temporal Graph for Traffic
  Forecasting
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Yiwen Sun
Yulu Wang
Kun Fu
Zheng Wang
Changshui Zhang
Jieping Ye
AI4TS
GNN
22
9
0
23 Apr 2020
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep
  Learning Approach Considering Dynamic Non-Local Spatial Correlation and
  Non-Stationary Temporal Dependency
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Xinglei Wang
Xuefeng Guan
Jun Cao
N. Zhang
Huayi Wu
GNN
AI4TS
19
42
0
06 Apr 2020
Predicting origin-destination ride-sourcing demand with a
  spatio-temporal encoder-decoder residual multi-graph convolutional network
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
38
151
0
17 Oct 2019
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning
  Framework for Network-Scale Traffic Learning and Forecasting
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui
Kristian C. Henrickson
Ruimin Ke
Ziyuan Pu
Yinhai Wang
GNN
AI4TS
42
738
0
20 Feb 2018
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