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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
AttentionMixer: An Accurate and Interpretable Framework for Process
  Monitoring
AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring
Hao Wang
Zhiyu Wang
Yunlong Niu
Zhaoran Liu
Haozhe Li
Yilin Liao
Yuxin Huang
Xinggao Liu
73
0
0
21 Feb 2023
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air
  Quality Predictions
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
Jing Xu
Shuo Wang
N. Ying
Xiao Xiao
Jiang Zhang
Yun Cheng
Zhiling Jin
Gangfeng Zhang
38
0
0
20 Feb 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Mingzhe Liu
Han Huang
Hao Feng
Leilei Sun
Bowen Du
Yanjie Fu
DiffM
91
56
0
20 Feb 2023
Fast Temporal Wavelet Graph Neural Networks
Fast Temporal Wavelet Graph Neural Networks
D. Nguyen
Manh Tuan Nguyen
Truong-Son Hy
Risi Kondor
AI4TS
78
7
0
17 Feb 2023
Temporal Graph Neural Networks for Irregular Data
Temporal Graph Neural Networks for Irregular Data
Joel Oskarsson
Per Sidén
Fredrik Lindsten
AI4TS
62
11
0
16 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
90
36
0
08 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with
  Neural ODEs
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Theodor Westny
Joel Oskarsson
Björn Olofsson
Erik Frisk
148
38
0
01 Feb 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising
  Diffusion Models
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen
Youfang Lin
Yutong Xia
Huaiyu Wan
Qingsong Wen
Roger Zimmermann
Yuxuan Liang
DiffM
135
95
0
31 Jan 2023
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Xu Liu
Yuxuan Liang
Chao Huang
Hengchang Hu
Yushi Cao
Bryan Hooi
Roger Zimmermann
AI4TS
117
22
0
30 Jan 2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and
  Accurate Spatiotemporal Learning Perspective
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Xu Wang
Pengfei Gu
Pengkun Wang
Binwu Wang
Zhengyang Zhou
Lei Bai
Yang Wang
GNN
41
3
0
27 Jan 2023
Learning Informative Representation for Fairness-aware Multivariate
  Time-series Forecasting: A Group-based Perspective
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective
Hui He
Qi Zhang
Shoujin Wang
Kun Yi
ZhenDong Niu
Longbin Cao
AI4TS
95
12
0
27 Jan 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for
  Traffic Flow Prediction
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Jiawei Jiang
Chengkai Han
Wayne Xin Zhao
Jingyuan Wang
AI4TS
140
286
0
19 Jan 2023
Causal conditional hidden Markov model for multimodal traffic prediction
Causal conditional hidden Markov model for multimodal traffic prediction
Yu Zhao
Pan Deng
Junting Liu
Xiaofeng Jia
Mulan X. Wang
75
14
0
19 Jan 2023
Spatio-temporal neural structural causal models for bike flow prediction
Spatio-temporal neural structural causal models for bike flow prediction
Pan Deng
Yu Zhao
Junting Liu
Xiaofeng Jia
Mulan X. Wang
AI4TS
71
20
0
19 Jan 2023
Learnable Path in Neural Controlled Differential Equations
Learnable Path in Neural Controlled Differential Equations
Sheo Yon Jhin
Minju Jo
Seung-Uk Kook
Noseong Park
Sungpil Woo
Sunhwan Lim
67
6
0
11 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and
  Disentanglement
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yuante Li
Xin-xin Lu
Yaqing Wang
De-Yu Dou
DiffMAI4TS
99
105
0
08 Jan 2023
Graph state-space models
Graph state-space models
Daniele Zambon
Andrea Cini
L. Livi
Cesare Alippi
64
6
0
04 Jan 2023
Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
Yunyao Cheng
Chenjuan Guo
Kai Chen
Kai Zhao
B. Yang
Jiandong Xie
Christian S. Jensen
Feiteng Huang
Kai Zheng
AI4TS
100
1
0
20 Dec 2022
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Jingwei Zuo
K. Zeitouni
Y. Taher
Sandra García-Rodríguez
GNNAI4TS
81
43
0
13 Dec 2022
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling
Renhe Jiang
Zhaonan Wang
Jiawei Yong
P. Jeph
Quanjun Chen
Yasumasa Kobayashi
Xuan Song
Toyotaro Suzumura
Shintaro Fukushima
GNNBDLAI4TS
118
4
0
12 Dec 2022
GT-CausIn: a novel causal-based insight for traffic prediction
GT-CausIn: a novel causal-based insight for traffic prediction
Ting Gao
Rodrigo Marques
Lei Yu
CMLAI4TS
49
3
0
12 Dec 2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by
  tensor decomposition
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li
Xu Yang
Yong Wang
Yuankai Wu
Deqiang He
91
10
0
12 Dec 2022
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
Seongjin Choi
Nicolas Saunier
Vincent Zhihao Zheng
M. Trépanier
Lijun Sun
74
1
0
10 Dec 2022
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow
  Prediction
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
K. Bhaumik
Fahim Faisal Niloy
Saif Mahmud
Simon S. Woo
AI4TS
114
2
0
08 Dec 2022
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic
  Prediction and Policy Impact Analysis
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis
Danfeng Guo
Zijie Huang
Junheng Hao
Yizhou Sun
Wei Wang
D. Terzopoulos
60
0
0
05 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via
  Decomposed Determinant Point Processes
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
98
11
0
05 Dec 2022
Joint Neural Architecture and Hyperparameter Search for Correlated Time
  Series Forecasting
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Xinle Wu
Dalin Zhang
Miao Zhang
Chenjuan Guo
B. Yang
Christian S. Jensen
AI4TS
72
28
0
29 Nov 2022
AirFormer: Predicting Nationwide Air Quality in China with Transformers
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang
Yutong Xia
Songyu Ke
Yiwei Wang
Qingsong Wen
Junbo Zhang
Yu Zheng
Roger Zimmermann
AI4TSAI4CE
73
120
0
29 Nov 2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with
  ST-Curriculum Dropout
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Hongjun Wang
Jiyuan Chen
Tongbo Pan
Z. Fan
Boyuan Zhang
Renhe Jiang
Lingyu Zhang
Yi Xie
Zhongyin Wang
Xuan Song
GNN
89
9
0
28 Nov 2022
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang
Zhaonan Wang
Jiawei Yong
P. Jeph
Quanjun Chen
Yasumasa Kobayashi
Xuan Song
Shintaro Fukushima
Toyotaro Suzumura
AI4TS
92
202
0
27 Nov 2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural
  Networks
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks
Andreas Roth
Thomas Liebig
AI4TSAI4CE
68
10
0
21 Nov 2022
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
105
25
0
21 Nov 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory
  Perspective
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Yige Yuan
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Wen Zheng
Xueqi Cheng
77
13
0
20 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium
  Models
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
Yi Luo
Guiduo Duan
Guangchun Luo
Aiguo Chen
103
2
0
19 Nov 2022
Learning on Health Fairness and Environmental Justice via Interactive
  Visualization
Learning on Health Fairness and Environmental Justice via Interactive Visualization
A. Nayeem
I. Segovia-Dominguez
Huikyo Lee
Dongyun Han
Yuzhou Chen
Zhiwei Zhen
Yulia R. Gel
Isaac Cho
56
3
0
18 Nov 2022
Benchmarking Graph Neural Networks for FMRI analysis
Benchmarking Graph Neural Networks for FMRI analysis
A. E. Gazzar
R. Thomas
G. Wingen
79
7
0
16 Nov 2022
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using
  Domain-Adversarial Graph Neural Networks
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks
Yuebing Liang
Guan Huang
Zhan Zhao
OOD
78
15
0
16 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
34
1
0
13 Nov 2022
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for
  COVID-19 forecasting
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting
Smart Health
Ming Dong
Ying Li
AI4TS
55
14
0
31 Oct 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
97
42
0
30 Oct 2022
M3FGM:a node masking and multi-granularity message passing-based
  federated graph model for spatial-temporal data prediction
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction
Yuxing Tian
Zheng Liu
Yanwen Qu
Song Li
Jiachi Luo
AI4CE
84
1
0
27 Oct 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Youngin Cho
Daejin Kim
Dongmin Kim
Mohammad Azam Khan
Jaegul Choo
AI4TS
78
3
0
25 Oct 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution
  Shifts and Missing Data
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data
Cristian Challu
Peihong Jiang
Y. Wu
Laurent Callot
AI4TS
57
1
0
22 Oct 2022
Correlating sparse sensing for large-scale traffic speed estimation: A
  Laplacian-enhanced low-rank tensor kriging approach
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach
Tong Nie
Guoyang Qin
Yunpeng Wang
Jian Sun
105
27
0
21 Oct 2022
Graph Neural Networks with Trainable Adjacency Matrices for Fault
  Diagnosis on Multivariate Sensor Data
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
Alexander Kovalenko
Vitaliy Pozdnyakov
Ilya Makarov
AI4CE
55
9
0
20 Oct 2022
ST-former for short-term passenger flow prediction during COVID-19 in urban rail transit system
Shuxin Zhang
Jinlei Zhang
Lixing Yang
Chengcheng Wang
Ziyou Gao
AI4TS
57
0
0
14 Oct 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series
  Forecasting
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Liang Hu
Hui He
Ning An
LongBing Cao
ZhenDong Niu
AI4TS
133
3
0
06 Oct 2022
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic
  Forecasting
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting
Le Zhao
Mingcai Chen
Yuntao Du
Haiyang Yang
Chongjun Wang
GNNAI4TS
36
4
0
06 Oct 2022
GT-GAN: General Purpose Time Series Synthesis with Generative
  Adversarial Networks
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Jinsung Jeon
Jeonghak Kim
Haryong Song
Seunghyeon Cho
Noseong Park
AI4TS
181
46
0
05 Oct 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting
  Models
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
Fan Liu
Haowen Liu
Wenzhao Jiang
OOD
139
35
0
05 Oct 2022
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