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Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

31 May 2019
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
    GNNAI4TS
ArXiv (abs)PDFHTML

Papers citing "Graph WaveNet for Deep Spatial-Temporal Graph Modeling"

50 / 585 papers shown
Title
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
65
0
0
25 Mar 2022
A Spatial-Temporal Attention Multi-Graph Convolution Network for Ride-Hailing Demand Prediction Based on Periodicity with Offset
Dong Xing
Chenguang Zhao
G. Wang
GNNAI4TS
29
0
0
23 Mar 2022
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes:
  A Graph-based Deep Learning Approach
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach
Yuebing Liang
Guan Huang
Zhan Zhao
AI4TS
27
13
0
18 Mar 2022
Learning the Dynamics of Physical Systems from Sparse Observations with
  Finite Element Networks
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen
Stephan Günnemann
AI4TS
58
38
0
16 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
67
10
0
08 Mar 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as
  Relational Inductive Biases
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Mingxiao Li
Yihong Tang
Wei-Ying Ma
GNNAI4TS
80
10
0
08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
104
30
0
07 Mar 2022
On the importance of stationarity, strong baselines and benchmarks in
  transport prediction problems
On the importance of stationarity, strong baselines and benchmarks in transport prediction problems
Filipe Rodrigues
AI4TS
83
3
0
06 Mar 2022
Personalized Federated Learning With Graph
Personalized Federated Learning With Graph
Fengwen Chen
Guodong Long
Zonghan Wu
Tianyi Zhou
Jing Jiang
FedML
129
56
0
02 Mar 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
106
21
0
28 Feb 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
67
23
0
25 Feb 2022
Combating Distribution Shift for Accurate Time Series Forecasting via
  Hypernetworks
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks
Wenying Duan
Xiaoxi He
Lu Zhou
Lothar Thiele
Hong Rao
TTAAI4TS
86
11
0
22 Feb 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Xiwei Xu
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLLAI4CE
124
53
0
22 Feb 2022
Physics-Informed Graph Learning
Physics-Informed Graph Learning
Ciyuan Peng
Xiwei Xu
Vidya Saikrishna
Huan Liu
PINNAI4CE
103
6
0
22 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
60
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
GNNAI4TS
91
47
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
BDLAI4TSAI4CE
146
115
0
17 Feb 2022
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
L. Hermes
Barbara Hammer
Andrew Melnik
Riza Velioglu
Markus Vieth
M. Schilling
GNNAI4TSAI4CE
77
6
0
11 Feb 2022
STG-GAN: A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems
Jinlei Zhang
Hua Li
Lixing Yang
G. Jin
J. Qi
Ziyou Gao
AI4TS
65
4
0
10 Feb 2022
Structured Time Series Prediction without Structural Prior
Structured Time Series Prediction without Structural Prior
Darko Drakulic
J. Andreoli
DiffMAI4TS
54
4
0
07 Feb 2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction
Unboxing the graph: Neural Relational Inference for Mobility Prediction
M. Tygesen
Francisco Câmara Pereira
Filipe Rodrigues
AI4TS
63
2
0
25 Jan 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
58
1
0
24 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
AI4TSAI4CE
67
86
0
13 Jan 2022
AutoCTS: Automated Correlated Time Series Forecasting -- Extended
  Version
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version
Xinle Wu
Dalin Zhang
Chenjuan Guo
Chaoyang He
B. Yang
Christian S. Jensen
AI4TS
85
73
0
21 Dec 2021
Joint Demand Prediction for Multimodal Systems: A Multi-task
  Multi-relational Spatiotemporal Graph Neural Network Approach
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach
Yuebing Liang
Guan Huang
Zhan Zhao
AI4TS
68
51
0
15 Dec 2021
Scale-Aware Neural Architecture Search for Multivariate Time Series
  Forecasting
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
Donghui Chen
Ling-Hao Chen
Zongjiang Shang
Youdong Zhang
Bo Wen
Chenghu Yang
AI4TS
73
7
0
14 Dec 2021
Event-Aware Multimodal Mobility Nowcasting
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang
Renhe Jiang
Hao Xue
Flora D. Salim
Xuan Song
Ryosuke Shibasaki
87
37
0
14 Dec 2021
Causal Knowledge Guided Societal Event Forecasting
Causal Knowledge Guided Societal Event Forecasting
Songgaojun Deng
Huzefa Rangwala
Yue Ning
AI4TS
68
2
0
10 Dec 2021
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain
  Dynamics: A Comparison of Graph Neural Network Architectures
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
S. Wein
Alina Schüller
A. Tomé
W. Malloni
M. Greenlee
E. Lang
AI4CE
100
15
0
08 Dec 2021
Periodic Residual Learning for Crowd Flow Forecasting
Periodic Residual Learning for Crowd Flow Forecasting
Chengxin Wang
Yuxuan Liang
Gary S. H. Tan
AI4TS
58
12
0
08 Dec 2021
Graph Neural Controlled Differential Equations for Traffic Forecasting
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi
Hwangyong Choi
JeeHyun Hwang
Noseong Park
BDLAI4TS
168
288
1
07 Dec 2021
Dynamic Graph Learning-Neural Network for Multivariate Time Series
  Modeling
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling
Zhuoling Li
Gaowei Zhang
Lingyu Xu
Jie Yu
AI4TS
52
2
0
06 Dec 2021
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via
  Efficient Spectral Graph Attention Network
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention Network
Yuchen Fang
Yanjun Qin
Haiyong Luo
Fang Zhao
Bingbing Xu
Chenxing Wang
Liang Zeng
AI4TS
112
11
0
06 Dec 2021
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic
  Forecasting
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
Yanjun Qin
Yuchen Fang
Haiyong Luo
Fang Zhao
Chenxing Wang
AI4TS
117
9
0
04 Dec 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention
  Network for Traffic Forecasting
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting
Yuchen Fang
Yanjun Qin
Haiyong Luo
Fang Zhao
Chenxing Wang
GNNAI4TS
26
1
0
04 Dec 2021
Spatio-Temporal Joint Graph Convolutional Networks for Traffic
  Forecasting
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
Chuanpan Zheng
Xiaoliang Fan
Shirui Pan
Haibing Jin
Zhaopeng Peng
Zonghan Wu
Cheng-Yu Wang
Philip S. Yu
GNNAI4TS
69
52
0
25 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
AI4TSGNN
67
1
0
15 Nov 2021
Learning from Multiple Time Series: A Deep Disentangled Approach to
  Diversified Time Series Forecasting
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
Ling-Hao Chen
Weiqiu Chen
Binqing Wu
Youdong Zhang
Bo Wen
Chenghu Yang
AI4TS
48
4
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
50
24
0
03 Nov 2021
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Reese Pathak
Rajat Sen
Nikhil S. Rao
N. Benjamin Erichson
Michael I. Jordan
Inderjit S. Dhillon
AI4TS
83
2
0
26 Oct 2021
Heterogeneous Temporal Graph Neural Network
Heterogeneous Temporal Graph Neural Network
Yujie Fan
Mingxuan Ju
Chuxu Zhang
Liang Zhao
Yanfang Ye
67
38
0
26 Oct 2021
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover
  Hidden Patterns in COVID-19 Clinical Severity
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
I. Segovia-Dominguez
Huikyo Lee
Zhiwei Zhen
Yuzhou Chen
M. Garay
Daniel Crichton
R. Wagh
Yulia R. Gel
44
1
0
21 Oct 2021
Learning to Remember Patterns: Pattern Matching Memory Networks for
  Traffic Forecasting
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
Hyunwoo Lee
Seungmin Jin
Hyeshin Chu
H. Lim
Sungahn Ko
AI4TS
85
36
0
20 Oct 2021
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network
  for Traffic Prediction
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction
He Li
Shiyu Zhang
Xuejiao Li
Liangcai Su
Hongjie Huang
D. Jin
Linghao Chen
Jianbin Huang
Jaesoo Yoo
47
27
0
19 Oct 2021
Application of Graph Convolutions in a Lightweight Model for Skeletal
  Human Motion Forecasting
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting
L. Hermes
Barbara Hammer
M. Schilling
3DH
53
4
0
10 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative
  Adversarial Network
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network
Yichen Zhu
Bo Jiang
Haiming Jin
Mengtian Zhang
Feng Gao
Jianqiang Huang
Tao Lin
Xinbing Wang
GNNAI4TS
106
5
0
05 Oct 2021
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel
  Attention-Based Spatio-Temporal Graph Convolutional Networks
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks
Yuanjie Lu
Parastoo Kamranfar
David Lattanzi
Amarda Shehu
GNNAI4TS
25
4
0
04 Oct 2021
Multi Scale Graph Wavenet for Wind Speed Forecasting
Multi Scale Graph Wavenet for Wind Speed Forecasting
Neetesh Rathore
Pradeep Rathore
Arghya Basak
S. Nistala
Venkataramana Runkana
AI4TS
127
19
0
30 Sep 2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime
  Forecasting
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang
Zongyu Lin
Xiaochen Yang
Jiao Sun
Mingxuan Yue
Cyrus Shahabi
AI4TS
108
30
0
27 Sep 2021
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
A. E. Gazzar
R. Thomas
G. Wingen
75
20
0
26 Sep 2021
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