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"

23 / 173 papers shown
Title
Transfer Learning with Graph Neural Networks for Short-Term Highway
  Traffic Forecasting
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
Tanwi Mallick
Prasanna Balaprakash
E. Rask
Jane Macfarlane
GNN
AI4TS
6
68
0
17 Apr 2020
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike
  Sharing Systems
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
Jingjing Gu
Qiang Zhou
Jingyuan Yang
Yanchi Liu
Fuzhen Zhuang
Yanchao Zhao
Hui Xiong
12
19
0
13 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
Learning to simulate and design for structural engineering
Learning to simulate and design for structural engineering
Kai-Hung Chang
Chin-Yi Cheng
AI4CE
28
49
0
20 Mar 2020
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station
  Metro Ridership Prediction
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction
Lingbo Liu
Jingwen Chen
Hefeng Wu
Jiajie Zhen
Guanbin Li
Liang Lin
13
9
0
14 Jan 2020
Graph Markov Network for Traffic Forecasting with Missing Data
Graph Markov Network for Traffic Forecasting with Missing Data
Zhiyong Cui
Longfei Lin
Ziyuan Pu
Yinhai Wang
AI4TS
6
94
0
10 Dec 2019
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised
  Anomaly Detection
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection
Urwa Muaz
Stanislav Sobolevsky
6
1
0
05 Dec 2019
Forecasting Trajectory and Behavior of Road-Agents Using Spectral
  Clustering in Graph-LSTMs
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
Rohan Chandra
Tianrui Guan
Srujan Panuganti
Trisha Mittal
Uttaran Bhattacharya
Aniket Bera
Dinesh Manocha
AI4TS
32
151
0
02 Dec 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
42
154
0
18 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings
A Capsule Network-based Model for Learning Node Embeddings
D. Q. Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
20
9
0
12 Nov 2019
Road Surface Friction Prediction Using Long Short-Term Memory Neural
  Network Based on Historical Data
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data
Ziyuan Pu
Shuo Wang
Chenglong Liu
Zhiyong Cui
Yinhai Wang
14
44
0
01 Nov 2019
Incorporating dynamicity of transportation network with multi-weight
  traffic graph convolutional network for traffic forecasting
Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting
Y. Shin
Yoonjin Yoon
AI4TS
45
57
0
16 Sep 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
23
550
0
11 Jun 2019
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic
  Forecasting
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Kyungeun Lee
Wonjong Rhee
AI4TS
GNN
13
108
0
29 May 2019
Neural-Attention-Based Deep Learning Architectures for Modeling Traffic
  Dynamics on Lane Graphs
Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs
Matthew A. Wright
Simon F. G. Ehlers
R. Horowitz
AI4CE
GNN
14
4
0
18 Apr 2019
Autoregressive Models for Sequences of Graphs
Autoregressive Models for Sequences of Graphs
Daniele Zambon
Daniele Grattarola
L. Livi
C. Alippi
14
8
0
18 Mar 2019
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for
  Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact
Ruimin Ke
Wan Li
Zhiyong Cui
Yinhai Wang
11
78
0
05 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
37
12
0
26 Feb 2019
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply
  Forecasts
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts
Neema Davis
G. Raina
Krishna Jagannathan
AI4TS
22
27
0
18 Feb 2019
A deep learning approach to real-time parking occupancy prediction in
  spatio-temporal networks incorporating multiple spatio-temporal data sources
A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources
Shuguan Yang
Wei-Ying Ma
Xidong Pi
Sean Qian
GNN
AI4CE
19
15
0
21 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
153
8,350
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,396
0
20 Dec 2018
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and
  Forecasting
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Philipp Haehnel
Jakub Mareˇcek
Julien Monteil
Fearghal O'Donncha
AI4CE
12
39
0
22 Oct 2018
Previous
1234