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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
Multimodal Power Outage Prediction for Rapid Disaster Response and
  Resource Allocation
Multimodal Power Outage Prediction for Rapid Disaster Response and Resource Allocation
Alejandro Aparcedo
Christian Lopez
Abhinav Kotta
Mengjie Li
73
1
0
14 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal
  Prediction with Graph Neural Networks
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Dingyi Zhuang
Yuheng Bu
Guang Wang
Shenhao Wang
Jinhua Zhao
BDL
93
1
0
13 Sep 2024
EasyST: A Simple Framework for Spatio-Temporal Prediction
EasyST: A Simple Framework for Spatio-Temporal Prediction
J. Tang
Wei Wei
Lianghao Xia
Chao Huang
93
2
0
10 Sep 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
141
4
0
30 Aug 2024
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Osama Ahmad
Zubair Khalid
Fabian Waschkowski
Zubair Khalid
GNNAI4TS
91
1
0
29 Aug 2024
TCNFormer: Temporal Convolutional Network Former for Short-Term Wind
  Speed Forecasting
TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting
Abid Hasan Zim
Aquib Iqbal
Asad Malik
Zhicheng Dong
Hanzhou Wu
AI4TS
61
2
0
27 Aug 2024
Reprogramming Foundational Large Language Models(LLMs) for Enterprise
  Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in
  Copilot-Guided Cross-Modal Time Series Representation Learning
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
AI4TS
102
0
0
26 Aug 2024
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in
  Digital Twin Technology
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
Sagar Srinivas Sakhinana
Krishna Sai Sudhir Aripirala
Shivam Gupta
Venkataramana Runkana
71
0
0
22 Aug 2024
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series
  Representation Learning
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
Sagar Srinivas Sakhinana
Krishna Sai Sudhir Aripirala
Shivam Gupta
Venkataramana Runkana
BDLAI4TSAI4CE
114
0
0
22 Aug 2024
Geolocation Representation from Large Language Models are Generic
  Enhancers for Spatio-Temporal Learning
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
Junlin He
Tong Nie
Wei Ma
AI4TS
96
3
0
22 Aug 2024
LightWeather: Harnessing Absolute Positional Encoding to Efficient and
  Scalable Global Weather Forecasting
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting
Yisong Fu
Fei Wang
Zezhi Shao
Chengqing Yu
Yujie Li
Zhao Chen
Zhulin An
Yongjun Xu
AI4TS
92
0
0
19 Aug 2024
Linear Attention is Enough in Spatial-Temporal Forecasting
Linear Attention is Enough in Spatial-Temporal Forecasting
Xinyu Ning
AI4TS
102
0
0
17 Aug 2024
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
Zhonghang Li
Long Xia
Lei Shi
Yong-mei Xu
D. Yin
Chao Huang
VLMAI4TSAI4CE
89
10
0
16 Aug 2024
Multi-View Neural Differential Equations for Continuous-Time Stream Data
  in Long-Term Traffic Forecasting
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
Zibo Liu
Zhe Jiang
Shigang Chen
AI4TS
112
0
0
12 Aug 2024
Spacetime $E(n)$-Transformer: Equivariant Attention for Spatio-temporal
  Graphs
Spacetime E(n)E(n)E(n)-Transformer: Equivariant Attention for Spatio-temporal Graphs
Sergio G. Charles
79
0
0
12 Aug 2024
Enhanced Prediction of Multi-Agent Trajectories via Control Inference
  and State-Space Dynamics
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Yu Zhang
Yongxiang Zou
Haoyu Zhang
Zeyu Liu
Houcheng Li
Long Cheng
AI4CE
84
1
0
08 Aug 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
76
0
0
02 Aug 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph
  Explanation Generation
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
Jiaxing Zhang
Jiayi Liu
Dongsheng Luo
Jennifer Neville
Hua Wei
95
3
0
22 Jul 2024
Robust Multivariate Time Series Forecasting against Intra- and
  Inter-Series Transitional Shift
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
Hui He
Qi Zhang
Kun Yi
Xiaojun Xue
Shoujin Wang
Liang Hu
Longbin Cao
OODAI4TS
112
0
0
18 Jul 2024
Urban Traffic Forecasting with Integrated Travel Time and Data
  Availability in a Conformal Graph Neural Network Framework
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework
Mayur Patil
Qadeer Ahmed
Shawn Midlam-Mohler
AI4TS
82
0
0
17 Jul 2024
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability
  and More
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More
Xiaochuan Gou
Ziyue Li
Tian-Shing Lan
Junpeng Lin
Zhishuai Li
Bingyu Zhao
Chen Zhang
Di Wang
Xiangliang Zhang
AI4TS
108
1
0
16 Jul 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Yuanjie Lu
Amarda Shehu
David Lattanzi
GNN
101
0
0
16 Jul 2024
ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
Baichao Long
Wang Zhu
Jianli Xiao
GNNAI4TS
58
3
0
13 Jul 2024
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
YiHeng Huang
Xiaowei Mao
Shengnan Guo
Yubin Chen
Junfeng Shen
Tiankuo Li
Youfang Lin
Huaiyu Wan
AI4TS
107
0
0
12 Jul 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm
  of Topology-Free Patterns for Traffic Speed Prediction
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
Yicheng Zhou
Pengfei Wang
Hao Dong
Denghui Zhang
Dingqi Yang
Yanjie Fu
Pengyang Wang
AI4TSAI4CEGNN
112
6
0
24 Jun 2024
Traffic Prediction considering Multiple Levels of Spatial-temporal
  Information: A Multi-scale Graph Wavelet-based Approach
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
Zilin Bian
Jingqin Gao
K. Ozbay
Zhenning Li
61
0
0
18 Jun 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning:
  Lessons Learned
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
Du Yin
Jinliang Deng
Shuang Ao
Zechen Li
Hao Xue
Arian Prabowo
Renhe Jiang
Xuan Song
Flora Salim
AI4TS
115
0
0
18 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for
  Multivariate Time Series Forecasting
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Yue Jiang
Xiucheng Li
Yile Chen
Shuai Liu
Weilong Kong
Antonis F. Lentzakis
Gao Cong
AI4TSAI4CE
89
6
0
18 Jun 2024
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
Du Yin
Hao Xue
Arian Prabowo
Shuang Ao
Flora Salim
AI4TS
89
0
0
18 Jun 2024
Rethinking Spatio-Temporal Transformer for Traffic
  Prediction:Multi-level Multi-view Augmented Learning Framework
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
Jiaqi Lin
Qianqian Ren
ViTAI4TS
103
2
0
17 Jun 2024
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs
  with Selective State Spaces
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
Jinhyeok Choi
Heehyeon Kim
Minhyeong An
Joyce Jiyoung Whang
Mamba
75
2
0
17 Jun 2024
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion
  Prediction
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
Wenzhao Jiang
Jindong Han
Hao Liu
Tao Tao
Naiqiang Tan
Hui Xiong
MoE
89
11
0
14 Jun 2024
Pre-Training Identification of Graph Winning Tickets in Adaptive
  Spatial-Temporal Graph Neural Networks
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Wenying Duan
Tianxiang Fang
Hong Rao
Xiaoxi He
84
0
0
12 Jun 2024
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
Zewen Liu
Yunxiao Li
Mingyang Wei
Guancheng Wan
Max S. Y. Lau
Wei Jin
59
6
0
10 Jun 2024
PANDORA: Deep graph learning based COVID-19 infection risk level
  forecasting
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
Shuo Yu
Xiwei Xu
Yueru Wang
Shihao Li
F. Febrinanto
Madhu Chetty
64
2
0
07 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
100
4
0
05 Jun 2024
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
Jianping Zhou
Bin Lu
Zhanyu Liu
Siyu Pan
Xuejun Feng
Hua Wei
Guanjie Zheng
Xinbing Wang
Chenghu Zhou
99
2
0
05 Jun 2024
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Sanghyun Lee
Chanyoung Park
AI4TS
92
0
0
04 Jun 2024
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data
  Generation
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation
Wei Shao
Rongyi Zhu
Cai Yang
Chandra Thapa
Muhammad Ejaz Ahmed
S. Çamtepe
Rui Zhang
DuYong Kim
Hamid Menouar
Flora D. Salim
82
0
0
04 Jun 2024
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic
  Forecasting
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Jianrong Ding
Guanjie Zheng
AI4TS
79
3
0
03 Jun 2024
GATE: How to Keep Out Intrusive Neighbors
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa
R. Burkholz
138
1
0
01 Jun 2024
Learning on Large Graphs using Intersecting Communities
Learning on Large Graphs using Intersecting Communities
Ben Finkelshtein
.Ismail .Ilkan Ceylan
Michael M. Bronstein
Ron Levie
GNN
91
6
0
31 May 2024
MGCP: A Multi-Grained Correlation based Prediction Network for
  Multivariate Time Series
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series
Zhicheng Chen
Xi Xiao
Ke-Li Xu
Zhong Zhang
Yu Rong
Qing Li
Guojun Gan
Zhiqiang Xu
Peilin Zhao
AI4TS
88
0
0
30 May 2024
Learning Latent Graph Structures and their Uncertainty
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
Cesare Alippi
BDL
168
1
0
30 May 2024
Predicting Parking Availability in Singapore with Cross-Domain Data: A
  New Dataset and A Data-Driven Approach
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Huaiwu Zhang
Yutong Xia
Siru Zhong
Kun Wang
Zekun Tong
Qingsong Wen
Roger Zimmermann
Yuxuan Liang
61
0
0
29 May 2024
Continuous Product Graph Neural Networks
Continuous Product Graph Neural Networks
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
101
2
0
29 May 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with
  Graph Neural Networks
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
Wanlin Cai
Kun Wang
Hao Wu
Xiaoxu Chen
Yuankai Wu
AI4TS
66
0
0
28 May 2024
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic
  Prediction
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
OODAI4TS
95
13
0
28 May 2024
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A
  Spatio-Temporal Framework Approach
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
ChungYi Lin
Shen-Lung Tung
Hung-Ting Su
Winston H. Hsu
38
1
0
26 May 2024
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data
  in Buildings
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings
Xiachong Lin
Arian Prabowo
Imran Razzak
Hao Xue
Matthew Amos
Sam Behrens
Stephen White
Flora D. Salim
59
1
0
23 May 2024
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