ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.07007
  4. Cited By
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

20 February 2018
Zhiyong Cui
Kristian C. Henrickson
Ruimin Ke
Ziyuan Pu
Yinhai Wang
    GNN
    AI4TS
ArXivPDFHTML

Papers citing "Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting"

50 / 173 papers shown
Title
Deep Dual Support Vector Data Description for Anomaly Detection on
  Attributed Networks
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
Fengbin Zhang
Haoyi Fan
Ruidong Wang
Zuoyong Li
Tiancai Liang
16
31
0
01 Sep 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and
  Hardware
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
Xin Liu
Yurui Lai
Shuhan Song
Zhengyang Lv
Wenming Li
Guangyu Sun
Xiaochun Ye
Xiaochun Ye
24
13
0
26 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
EqGNN: Equalized Node Opportunity in Graphs
EqGNN: Equalized Node Opportunity in Graphs
Uriel Singer
Kira Radinsky
12
5
0
19 Aug 2021
Self-supervised Consensus Representation Learning for Attributed Graph
Self-supervised Consensus Representation Learning for Attributed Graph
Changshu Liu
Liangjiang Wen
Zhao Kang
Guangchun Luo
Ling Tian
SSL
40
50
0
10 Aug 2021
Missing Data Estimation in Temporal Multilayer Position-aware Graph
  Neural Network (TMP-GNN)
Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
Bahareh Najafi
S. Parsaeefard
A. Leon-Garcia
11
3
0
07 Aug 2021
Incorporating Reachability Knowledge into a Multi-Spatial Graph
  Convolution Based Seq2Seq Model for Traffic Forecasting
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting
Jiexia Ye
Furong Zheng
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
AI4TS
10
3
0
04 Jul 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
44
212
0
21 Jun 2021
Spatial-temporal Conv-sequence Learning with Accident Encoding for
  Traffic Flow Prediction
Spatial-temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction
Zichuan Liu
Rui Zhang
Chen Wang
Zhu Xiao
Hongbo Jiang
AI4TS
23
18
0
21 May 2021
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for
  Growing Transportation Networks
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
16
0
0
19 May 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction:
  Benchmark and Solution
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Fuxian Li
J. Feng
Huan Yan
G. Jin
Depeng Jin
Yong Li
GNN
AI4TS
19
357
0
30 Apr 2021
Traffic signal prediction on transportation networks using
  spatio-temporal correlations on graphs
Traffic signal prediction on transportation networks using spatio-temporal correlations on graphs
Semin Kwak
N. Geroliminis
P. Frossard
AI4TS
15
3
0
27 Apr 2021
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and
  Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
T. S. Jepsen
Christian S. Jensen
Thomas D. Nielsen
OT
AI4TS
76
2
0
27 Apr 2021
Graph Neural Networks for Traffic Forecasting
Graph Neural Networks for Traffic Forecasting
João Rico
J. Barateiro
Arlindo L. Oliveira
AI4TS
AI4CE
16
12
0
27 Apr 2021
Multi-fold Correlation Attention Network for Predicting Traffic Speeds
  with Heterogeneous Frequency
Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency
Yidan Sun
Guiyuan Jiang
S. Lam
Peilan He
Fangxin Ning
6
4
0
19 Apr 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural
  Networks
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Chaoyang He
Keshav Balasubramanian
Emir Ceyani
Carl Yang
Han Xie
...
Yu Rong
P. Zhao
Junzhou Huang
M. Annavaram
Salman Avestimehr
FedML
OOD
26
2
0
14 Apr 2021
Traffic Forecasting using Vehicle-to-Vehicle Communication
Traffic Forecasting using Vehicle-to-Vehicle Communication
Steven Y. K. Wong
Lejun Jiang
Robin G. Walters
Tamás G. Molnár
G. Orosz
Rose Yu
28
11
0
12 Apr 2021
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
29
100
0
10 Mar 2021
Meta-Learning with Graph Neural Networks: Methods and Applications
Meta-Learning with Graph Neural Networks: Methods and Applications
Debmalya Mandal
Sourav Medya
Brian Uzzi
Charu C. Aggarwal
AI4CE
31
21
0
27 Feb 2021
Physics-Informed Graphical Neural Network for Parameter & State
  Estimations in Power Systems
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier
Michael Chertkov
42
49
0
12 Feb 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Jun Hu
Shengsheng Qian
Quan Fang
Youze Wang
Quan Zhao
Huaiwen Zhang
Changsheng Xu
GNN
31
53
0
27 Jan 2021
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNN
AI4TS
AI4CE
32
837
0
27 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential
  Latent-Variable Models
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer
Maximilian Soelch
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
29
15
0
18 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network
Hybrid Quantum-Classical Graph Convolutional Network
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
GNN
13
36
0
15 Jan 2021
MC-LSTM: Mass-Conserving LSTM
MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt
Frederik Kratzert
D. Klotz
Christina Halmich
Markus Holzleitner
G. Nearing
Sepp Hochreiter
G. Klambauer
8
59
0
13 Jan 2021
Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder
Tomer Meirman
Roni Stern
Gilad Katz
12
1
0
11 Jan 2021
Passenger Mobility Prediction via Representation Learning for Dynamic
  Directed and Weighted Graph
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
Yuandong Wang
Hongzhi Yin
Tong Chen
Chunyang Liu
Ben Wang
Tianyu Wo
Jie Xu
AI4TS
69
19
0
04 Jan 2021
A Graph Convolutional Network with Signal Phasing Information for
  Arterial Traffic Prediction
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction
Victor Chan
Qijian Gan
Alexandre M. Bayen
GNN
21
1
0
25 Dec 2020
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in
  Southern California
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California
Bo Feng
Geoffrey C. Fox
11
5
0
20 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
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
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network
  for Traffic Forecasting
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu
Chao Tao
Hanhan Deng
Ling Zhao
Qiongjie Wang
Tao Lin
Haifeng Li
GNN
AI4TS
18
123
0
22 Nov 2020
Meta-Active Learning for Node Response Prediction in Graphs
Meta-Active Learning for Node Response Prediction in Graphs
Tomoharu Iwata
11
0
0
12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
30
225
0
30 Sep 2020
Facilitating Connected Autonomous Vehicle Operations Using
  Space-weighted Information Fusion and Deep Reinforcement Learning Based
  Control
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
Jiqian Dong
Sikai Chen
Yujie Li
Runjia Du
Aaron Steinfeld
S. Labi
26
11
0
30 Sep 2020
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement
  Learning Based on GNN Prediction
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction
Xiaorong Hu
Chenguang Zhao
Gang Wang
16
11
0
29 Sep 2020
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic
  Forecasting in Telecommunication Networks
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks
Marcus Kalander
Min Zhou
Chengzhi Zhang
Hanling Yi
Lujia Pan
AI4TS
6
19
0
17 Sep 2020
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Kyungeun Lee
Moonjung Eo
Euna Jung
Yoonjin Yoon
Wonjong Rhee
GNN
AI4TS
24
52
0
28 Aug 2020
Tree Structure-Aware Graph Representation Learning via Integrated
  Hierarchical Aggregation and Relational Metric Learning
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
Ziyue Qiao
Pengyang Wang
Yanjie Fu
Yi Du
P. Wang
Yuanchun Zhou
17
18
0
23 Aug 2020
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for
  Significant Citywide Ride-hailing Demand Prediction
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
G. Jin
Zhexu Xi
Hengyu Sha
Yanghe Feng
Jincai Huang
GNN
8
13
0
30 Jul 2020
On the Inclusion of Spatial Information for Spatio-Temporal Neural
  Networks
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks
Rodrigo de Medrano
J. Aznarte
29
15
0
15 Jul 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of
  Graph Neural Networks
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong
R. Forsati
M. Kandemir
M. Mahdavi
22
84
0
24 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need?
Graph-Aware Transformer: Is Attention All Graphs Need?
Sang-yong Yoo
Young-Seok Kim
Kang Lee
Kuhwan Jeong
Junhwi Choi
Hoshik Lee
Y. S. Choi
GNN
22
11
0
09 Jun 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain:
  A Survey
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
GNN
AI4TS
AI4CE
13
192
0
24 May 2020
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network
  for Forecasting Network-wide Traffic State with Missing Values
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Zhiyong Cui
Ruimin Ke
Ziyuan Pu
Yinhai Wang
AI4TS
15
330
0
24 May 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement
  Prediction
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
AIFin
AI4TS
22
52
0
11 May 2020
An Effective Dynamic Spatio-temporal Framework with Multi-Source
  Information for Traffic Prediction
An Effective Dynamic Spatio-temporal Framework with Multi-Source Information for Traffic Prediction
Jichen Wang
Weiguo Zhu
Yongqi Sun
Chunzi Tian
AI4TS
31
4
0
08 May 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
19
9
0
23 Apr 2020
Deep Learning on Traffic Prediction: Methods, Analysis and Future
  Directions
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions
Xueyan Yin
Genze Wu
Jinze Wei
Yanming Shen
Heng Qi
Baocai Yin
AI4TS
25
45
0
18 Apr 2020
Previous
1234
Next