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. 1911.08415
  4. Cited By
GMAN: A Graph Multi-Attention Network for Traffic Prediction

GMAN: A Graph Multi-Attention Network for Traffic Prediction

11 November 2019
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
    AI4TS
    AI4CE
ArXivPDFHTML

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

50 / 321 papers shown
Title
Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
Siyi Tang
Jared A. Dunnmon
Liangqiong Qu
Khaled Kamal Saab
T. Baykaner
Christopher Lee-Messer
D. Rubin
27
21
0
21 Nov 2022
Multi-task Learning for Sparse Traffic Forecasting
Multi-task Learning for Sparse Traffic Forecasting
Jiezhang Li
Junjun Li
Yue-jiao Gong
17
2
0
18 Nov 2022
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge
  Distillation
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation
Mehrtash Mehrabi
Yingxue Zhang
25
0
0
17 Nov 2022
GC-GRU-N for Traffic Prediction using Loop Detector Data
GC-GRU-N for Traffic Prediction using Loop Detector Data
Maged Shoman
Armstrong Aboah
Abdulateef Daud
Y. Adu-Gyamfi
AI4TS
8
1
0
13 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Bin Cui
Lei Chen
GNN
AI4CE
11
56
0
01 Nov 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
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
S. Rizvi
Akash Awasthi
Maria J. Peláez
Zhihui Wang
V. Cristini
Hien Nguyen
P. Dogra
19
1
0
12 Oct 2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep
  Stage Recognition
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
Jianchao Lu
Yuzhe Tian
Shuang Wang
Michael Sheng
Xianglin Zheng
GNN
27
6
0
26 Sep 2022
Scalable Spatiotemporal Graph Neural Networks
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini
Ivan Marisca
F. Bianchi
Cesare Alippi
AI4TS
AI4CE
34
49
0
14 Sep 2022
Residual Correction in Real-Time Traffic Forecasting
Residual Correction in Real-Time Traffic Forecasting
Daejin Kim
Young Cho
Dongmin Kim
Cheonbok Park
Jaegul Choo
16
7
0
12 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
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware
  Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
Junkyu Jang
Sunghyuk Park
32
1
0
05 Sep 2022
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban
  Traffic Flow Prediction
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction
Mahan Tabatabaie
James S. Maniscalco
Connor Lynch
Suining He
AI4TS
14
0
0
15 Aug 2022
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Weizhu Qian
Dalin Zhang
Yan Zhao
Kai Zheng
James J. Q. Yu
BDL
AI4TS
24
22
0
11 Aug 2022
Spatial-Temporal Identity: A Simple yet Effective Baseline for
  Multivariate Time Series Forecasting
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
Zezhi Shao
Zhao Zhang
Fei Wang
Wei Wei
Yongjun Xu
AI4TS
27
204
0
10 Aug 2022
Enhancing the Robustness via Adversarial Learning and Joint
  Spatial-Temporal Embeddings in Traffic Forecasting
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting
Juyong Jiang
Binqing Wu
Ling-Hao Chen
Kai Zhang
Sunghun Kim
AI4TS
33
18
0
05 Aug 2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross
  Merchandise Value Forecast in E-commerce
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
Borui Ye
Shuo Yang
Binbin Hu
Qing Cui
Youqiang He
Kai Huang
Jun Zhou
Yanming Fang
27
4
0
27 Jul 2022
Spatial-Temporal Feature Extraction and Evaluation Network for Citywide
  Traffic Condition Prediction
Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
AI4TS
13
1
0
22 Jul 2022
Spatiotemporal Propagation Learning for Network-Wide Flight Delay
  Prediction
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Yuankai Wu
Hongyu Yang
Yi Lin
Hong Liu
AI4TS
6
16
0
14 Jul 2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow
  Forecasting
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting
Aosong Feng
Leandros Tassiulas
AI4TS
14
58
0
09 Jul 2022
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
Xueyan Yin
Fei Li
Yanming Shen
Heng Qi
Baocai Yin
GNN
AI4TS
20
7
0
04 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical
  Analysis
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
Mohammad Sabbaqi
Elvin Isufi
GNN
AI4TS
40
14
0
30 Jun 2022
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case
  Study with SmartSantander
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantander
Yuya Sasaki
Junya Takayama
Juan Ramón Santana
Shohei Yamasaki
T. Okuno
Makoto Onizuka
19
2
0
21 Jun 2022
Traffic-Twitter Transformer: A Nature Language Processing-joined
  Framework For Network-wide Traffic Forecasting
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting
Meng-Ju Tsai
Zhiyong Cui
H. Yang
Cole Kopca
Sophie Tien
Yinhai Wang
AI4TS
17
4
0
19 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
Spatial-Temporal Adaptive Graph Convolution with Attention Network for
  Traffic Forecasting
Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting
Weikang Chen
Yawen Li
Zhe Xue
Ang Li
Guobin Wu
GNN
AI4TS
20
5
0
07 Jun 2022
A Graph and Attentive Multi-Path Convolutional Network for Traffic
  Prediction
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction
Jianzhong Qi
Zhuowei Zhao
E. Tanin
Tingru Cui
Neema Nassir
Majid Sarvi
GNN
28
24
0
30 May 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with
  Sparse Observations
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca
Andrea Cini
Cesare Alippi
AI4TS
32
62
0
26 May 2022
A Correlation Information-based Spatiotemporal Network for Traffic Flow
  Forecasting
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
Wei-Guo Zhu
Yongqi Sun
Xintong Yi
Yan Wang
33
17
0
20 May 2022
Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
Aoyun Liu
Yaying Zhang
GNN
AI4TS
26
27
0
18 May 2022
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph
  Attention
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Wei Shao
Zhiling Jin
Shuo Wang
Yu Kang
Xiao Xiao
Hamid Menouar
Zhaofeng Zhang
Junshan Zhang
Flora D. Salim
AI4TS
AI4CE
14
51
0
23 Apr 2022
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime
  Prediction
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction
Zhong Li
Chao Huang
Lianghao Xia
Yong-mei Xu
Jiangsen Pei
36
65
0
18 Apr 2022
Accelerating Backward Aggregation in GCN Training with Execution Path
  Preparing on GPUs
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs
Shaoxian Xu
Zhiyuan Shao
Ci-Syuan Yang
Xiaofei Liao
Hai Jin
GNN
29
1
0
06 Apr 2022
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow
  Prediction
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Peng Xie
Minbo Ma
Tianrui Li
Shenggong Ji
Shengdong Du
Zeng Yu
Junbo Zhang
AI4TS
16
25
0
06 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph
  Neural Networks for Traffic Forecasting
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
Tanwi Mallick
Prasanna Balaprakash
Jane Macfarlane
BDL
25
11
0
04 Apr 2022
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full
  Version
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full Version
Razvan-Gabriel Cirstea
B. Yang
Chenjuan Guo
Tung Kieu
Shirui Pan
AI4TS
17
76
0
29 Mar 2022
An Intelligent End-to-End Neural Architecture Search Framework for
  Electricity Forecasting Model Development
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development
Jin Yang
Guangxin Jiang
Ying-Fan Huang
Ying Chen
AI4TS
22
0
0
25 Mar 2022
Online Graph Learning from Social Interactions
Online Graph Learning from Social Interactions
Valentina Shumovskaia
K. Ntemos
Stefan Vlaski
Ali H. Sayed
22
6
0
11 Mar 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
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Jiabin Tang
Tang Qian
Shikun Liu
Shengdong Du
Jie Hu
Tianrui Li
AI4TS
24
22
0
25 Feb 2022
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series
  Forecasting
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting
Lin Huang
Lijun Wu
Jia Zhang
Jiang Bian
Tie-Yan Liu
AI4TS
31
2
0
18 Feb 2022
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal
  Traffic Forecasting
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
Y. Shin
Yoonjin Yoon
GNN
AI4TS
41
40
0
18 Feb 2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Ming Jin
Yu Zheng
Yuanhao Li
Siheng Chen
B. Yang
Shirui Pan
BDL
AI4TS
AI4CE
20
100
0
17 Feb 2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time
  Series Forecasting
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
M. A. Chattha
L. V. Elst
M. I. Malik
Andreas Dengel
Sheraz Ahmed
AI4TS
16
0
0
08 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
97
54
0
08 Feb 2022
Structured Time Series Prediction without Structural Prior
Structured Time Series Prediction without Structural Prior
Darko Drakulic
J. Andreoli
DiffM
AI4TS
14
3
0
07 Feb 2022
Balanced Graph Structure Learning for Multivariate Time Series
  Forecasting
Balanced Graph Structure Learning for Multivariate Time Series Forecasting
Weijun Chen
Yanze Wang
Chengshuo Du
Zhenglong Jia
Feng Liu
Ran Chen
AI4TS
23
1
0
24 Jan 2022
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement
  Learning
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
Udesh Gunarathna
Renata Borovica-Gajic
S. Karunasekera
E. Tanin
AI4CE
16
8
0
13 Jan 2022
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series
  Forecasting
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Ling-Hao Chen
Donghui Chen
Zongjiang Shang
Binqing Wu
Cen Zheng
Bo Wen
Wei Zhang
AI4TS
AI4CE
24
61
0
13 Jan 2022
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with
  Dynamic Multiplex Relation Learning
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Liefeng Bo
Xiyue Zhang
Tianyi Chen
AI4TS
33
65
0
07 Jan 2022
Previous
1234567
Next