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T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

12 November 2018
Ling Zhao
Yujiao Song
Chao Zhang
Yu Liu
Pu Wang
Tao Lin
Min Deng
Haifeng Li
    AI4TS
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Papers citing "T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction"

50 / 108 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
On the Limit of Explaining Black-box Temporal Graph Neural Networks
On the Limit of Explaining Black-box Temporal Graph Neural Networks
Minh Nhat Vu
My T. Thai
16
4
0
02 Dec 2022
STGC-GNNs: A GNN-based traffic prediction framework with a
  spatial-temporal Granger causality graph
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
Silu He
Qinyao Luo
Ronghua Du
Ling Zhao
Haifeng Li
39
36
0
30 Oct 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting
  Models
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
F. Liu
Haowen Liu
Wenzhao Jiang
OOD
64
33
0
05 Oct 2022
Enhancing Spatiotemporal Prediction Model using Modular Design and
  Beyond
Enhancing Spatiotemporal Prediction Model using Modular Design and Beyond
Haoyu Pan
Hao Wu
Tan Yang
AI4TS
36
0
0
04 Oct 2022
Retrieval Based Time Series Forecasting
Retrieval Based Time Series Forecasting
Baoyu Jing
Si Zhang
Yada Zhu
B. Peng
K. Guan
A. Margenot
Hanghang Tong
AI4TS
35
9
0
27 Sep 2022
Simpler is better: Multilevel Abstraction with Graph Convolutional
  Recurrent Neural Network Cells for Traffic Prediction
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction
Naghmeh Shafiee Roudbari
Zachary Patterson
Ursula Eicker
Charalambos (Charis) Poullis
GNN
AI4TS
11
2
0
08 Sep 2022
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition
  Prediction Model
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
224
0
0
08 Sep 2022
An Explainer for Temporal Graph Neural Networks
An Explainer for Temporal Graph Neural Networks
Wenchong He
Minh Nhat Vu
Zhe Jiang
My T. Thai
AI4TS
11
17
0
02 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative
  Modeling
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
32
6
0
25 Aug 2022
Review on Action Recognition for Accident Detection in Smart City
  Transportation Systems
Review on Action Recognition for Accident Detection in Smart City Transportation Systems
Victor A. Adewopo
Nelly Elsayed
Zag ElSayed
Murat Ozer
Ahmed Abdelgawad
Magdy A. Bayoumi
42
41
0
20 Aug 2022
A Transferable Intersection Reconstruction Network for Traffic Speed
  Prediction
A Transferable Intersection Reconstruction Network for Traffic Speed Prediction
Pengyu Fu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
13
0
0
22 Jul 2022
D2-TPred: Discontinuous Dependency for Trajectory Prediction under
  Traffic Lights
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
Yuzhen Zhang
Wentong Wang
Weizhi Guo
Pei Lv
Mingliang Xu
Wei Chen
Tianyi Zhou
19
10
0
21 Jul 2022
Predicting Team Performance with Spatial Temporal Graph Convolutional
  Networks
Predicting Team Performance with Spatial Temporal Graph Convolutional Networks
Shengnan Hu
G. Sukthankar
GNN
17
2
0
21 Jun 2022
Route to Time and Time to Route: Travel Time Estimation from Sparse
  Trajectories
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Zhiwen Zhang
Hongjun Wang
Z. Fan
Jiyuan Chen
Xuan Song
Ryosuke Shibasaki
30
1
0
21 Jun 2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for
  Multivariate Time Series Forecasting
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Zezhi Shao
Zhao Zhang
Fei Wang
Yongjun Xu
AI4TS
24
213
0
18 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs
Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng
Hanzhi Wang
Zhewei Wei
Jiajun Liu
Sibo Wang
GNN
27
20
0
03 Jun 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network
STONet: A Neural-Operator-Driven Spatio-temporal Network
Haitao Lin
Guojiang Zhao
Lirong Wu
Stan Z. Li
AI4TS
AI4CE
18
1
0
18 Apr 2022
Research on Domain Information Mining and Theme Evolution of Scientific
  Papers
Research on Domain Information Mining and Theme Evolution of Scientific Papers
Changwei Zheng
Zhe Xue
M. Liang
Feifei Kou
Zeli Guan
AI4CE
24
0
0
18 Apr 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
26
10
0
08 Mar 2022
GCNET: graph-based prediction of stock price movement using graph
  convolutional network
GCNET: graph-based prediction of stock price movement using graph convolutional network
Alireza Jafari
Saman Haratizadeh
GNN
AIFin
AI4TS
25
31
0
19 Feb 2022
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph
  Learning Framework
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Xiangjie Kong
Kailai Wang
Mingliang Hou
Feng Xia
G. Karmakar
Jianxin Li
AI4TS
13
43
0
17 Feb 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
99
54
0
08 Feb 2022
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Y. Lu
AI4TS
32
7
0
27 Nov 2021
Network-wide Multi-step Traffic Volume Prediction using Graph
  Convolutional Gated Recurrent Neural Network
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Lei Lin
Weizi Li
Lei Zhu
GNN
AI4TS
9
5
0
22 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
33
24
0
20 Nov 2021
Non-separable Spatio-temporal Graph Kernels via SPDEs
Non-separable Spatio-temporal Graph Kernels via SPDEs
A. Nikitin
S. T. John
Arno Solin
Samuel Kaski
AI4TS
25
17
0
16 Nov 2021
A Comparative Study on Basic Elements of Deep Learning Models for
  Spatial-Temporal Traffic Forecasting
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
Y. Shin
Yoonjin Yoon
AI4TS
GNN
34
1
0
15 Nov 2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for
  Graph Similarity Computation
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
Atefeh Sohrabizadeh
Yuze Chi
Jason Cong
GNN
29
1
0
10 Nov 2021
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting
  Leveraging Heterogeneous Community Features
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
H. Farahmand
Yuanchang Xu
Ali Mostafavi
AI4CE
35
38
0
09 Nov 2021
Multistep traffic speed prediction: A deep learning based approach using
  latent space mapping considering spatio-temporal dependencies
Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies
Shatrughan Modi
J. Bhattacharya
P. Basak
32
24
0
03 Nov 2021
Graph Neural Networks for Graph Drawing
Graph Neural Networks for Graph Drawing
Matteo Tiezzi
Gabriele Ciravegna
Marco Gori
26
20
0
21 Sep 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume
  Prediction
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction
Fuchen Gao
Zhanquan Wang
Zhenguang Liu
AI4TS
GNN
30
5
0
29 Aug 2021
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic
  Prediction
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Renhe Jiang
Du Yin
Zhaonan Wang
Yizhuo Wang
Jiewen Deng
Hangcheng Liu
Z. Cai
Jinliang Deng
Xuan Song
Ryosuke Shibasaki
AI4TS
57
158
0
20 Aug 2021
A3GC-IP: Attention-Oriented Adjacency Adaptive Recurrent Graph
  Convolutions for Human Pose Estimation from Sparse Inertial Measurements
A3GC-IP: Attention-Oriented Adjacency Adaptive Recurrent Graph Convolutions for Human Pose Estimation from Sparse Inertial Measurements
Patrik Puchert
Timo Ropinski
3DH
25
3
0
23 Jul 2021
Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction
C. Cui
Xiaojie Li
Juan Du
Chunyun Zhang
Xiushan Nie
Meng Wang
Yilong Yin
AIFin
11
4
0
22 Jul 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical
  Learning in Hyperbolic Space
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Menglin Yang
Min Zhou
Marcus Kalander
Zengfeng Huang
Irwin King
36
121
0
08 Jul 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Zheng Fang
Qingqing Long
Guojie Song
Kunqing Xie
AI4TS
17
456
0
24 Jun 2021
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
F. B. Hüttel
Inon Peled
Filipe Rodrigues
Francisco Câmara Pereira
23
13
0
21 Jun 2021
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph
  Neural Network
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
Amit Roy
Kashob Kumar Roy
A. Ali
M. A. Amin
A. Rahman
AI4TS
54
28
0
26 Apr 2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural
  Machine Learning Models
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki
P. Scherer
Yixuan He
G. Panagopoulos
Alexander Riedel
...
Oliver Kiss
Ferenc Béres
Guzmán López
Nicolas Collignon
Rik Sarkar
AI4CE
29
199
0
15 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant
  Weight Matrices
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
36
32
0
13 Apr 2021
Bayesian Graph Convolutional Network for Traffic Prediction
Bayesian Graph Convolutional Network for Traffic Prediction
Jun Fu
Wei Zhou
Zhibo Chen
GNN
BDL
16
8
0
01 Apr 2021
Spatial-Temporal Tensor Graph Convolutional Network for Traffic
  Prediction
Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
Xuran Xu
Tong Zhang
Chunyan Xu
Zhen Cui
Jian Yang
GNN
21
3
0
10 Mar 2021
TELESTO: A Graph Neural Network Model for Anomaly Classification in
  Cloud Services
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
Dominik Scheinert
Alexander Acker
22
11
0
25 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of
  Time Series
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran
A. Mathews
Cheng Soon Ong
Lexing Xie
AI4TS
AI4CE
21
12
0
15 Feb 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
108
227
0
18 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological
  Forecasting
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
AI4TS
130
72
0
04 Jan 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
32
67
0
02 Dec 2020
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network
  for Traffic Forecasting
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu
Xing Han
Hanhan Deng
Chao Tao
Ling Zhao
Pu Wang
Tao Lin
Haifeng Li
AI4TS
29
99
0
26 Nov 2020
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