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GMAN: A Graph Multi-Attention Network for Traffic Prediction
v1v2 (latest)

GMAN: A Graph Multi-Attention Network for Traffic Prediction

11 November 2019
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
    AI4TSAI4CE
ArXiv (abs)PDFHTMLGithub (471★)

Papers citing "GMAN: A Graph Multi-Attention Network for Traffic Prediction"

24 / 324 papers shown
Title
Probability Trajectory: One New Movement Description for Trajectory
  Prediction
Probability Trajectory: One New Movement Description for Trajectory Prediction
Pei Lv
Hui Wei
Tianxin Gu
Yuzhen Zhang
Xiaoheng Jiang
Bing Zhou
Mingliang Xu
40
0
0
26 Jan 2021
Neural Relational Inference with Efficient Message Passing Mechanisms
Neural Relational Inference with Efficient Message Passing Mechanisms
Siyuan Chen
Jiahai Wang
Guoqing Li
93
21
0
23 Jan 2021
Exact Recovery of Community Structures Using DeepWalk and Node2vec
Exact Recovery of Community Structures Using DeepWalk and Node2vec
Yichi Zhang
M. Tang
55
2
0
18 Jan 2021
Modeling Heterogeneous Relations across Multiple Modes for Potential
  Crowd Flow Prediction
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction
Qiang Zhou
Jingjing Gu
Xinjiang Lu
Fuzhen Zhuang
Yanchao Zhao
Qiuhong Wang
Xiao Zhang
65
24
0
18 Jan 2021
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep
  Traffic Flow Prediction
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
Wei Zeng
Chengqiao Lin
Kang Liu
Juncong Lin
A. Tung
37
14
0
08 Jan 2021
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
166
125
0
16 Dec 2020
Exploring the Generalizability of Spatio-Temporal Traffic Prediction:
  Meta-Modeling and an Analytic Framework
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
Leye Wang
Di Chai
Xuanzhe Liu
Liyue Chen
Kai Chen
AI4TS
63
30
0
20 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
GNNAI4TS
70
52
0
28 Aug 2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao
Hao Xue
Wei Shao
Sichen Zhao
K. K. Qin
Arian Prabowo
Mohammad Saiedur Rahaman
Flora D. Salim
GANAI4TSAI4CE
112
111
0
18 Aug 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal
  Traffic Forecasting
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin
A. Amini
Lucy Coyle
Mark Coates
AI4TS
105
101
0
30 Jul 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
69
13
0
30 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNNAI4TS
100
1,217
0
06 Jul 2020
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
Haoxing Lin
Rufan Bai
Weijia Jia
Xinyu Yang
Yongjian You
HAIAI4TS
68
66
0
16 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
GNNAI4TSAI4CE
99
199
0
24 May 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph
  Neural Networks
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Xiaojun Chang
Chengqi Zhang
AI4TS
102
1,415
0
24 May 2020
Spatio-Temporal Point Processes with Attention for Traffic Congestion
  Event Modeling
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
Shixiang Zhu
Ruyi Ding
Minghe Zhang
Pascal Van Hentenryck
Yao Xie
3DPC
57
22
0
15 May 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
90
45
0
18 Apr 2020
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
GNNAI4TS
67
70
0
17 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
GNNAI4TS
76
42
0
06 Apr 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
54
10
0
14 Jan 2020
Graph Neural Lasso for Dynamic Network Regression
Graph Neural Lasso for Dynamic Network Regression
Yixin Chen
Lin Meng
Jiawei Zhang
AI4TS
51
5
0
25 Jul 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
AI4TSGNN
84
113
0
29 May 2019
An Attentive Survey of Attention Models
An Attentive Survey of Attention Models
S. Chaudhari
Varun Mithal
Gungor Polatkan
R. Ramanath
192
666
0
05 Apr 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
AI4CEGNN
1.2K
5,588
0
20 Dec 2018
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