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Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

14 September 2017
Ting Yu
Haoteng Yin
Zhanxing Zhu
    GNN
    AI4TS
ArXivPDFHTML

Papers citing "Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting"

50 / 300 papers shown
Title
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for
  Regional Epidemic Forecasting
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Feng Xie
Zhong Zhang
Liang Li
B. Zhou
Yusong Tan
19
22
0
23 Aug 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to
  Non-consecutive Spatiotemporal Dynamics
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Zhengyang Zhou
Yang Kuo
Wei Sun
Binwu Wang
Mingxing Zhou
Yunan Zong
Yang Wang
AI4TS
24
3
0
17 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
A Visual Analytics System for Improving Attention-based Traffic
  Forecasting Models
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models
Seungmin Jin
Hyunwoo Lee
Cheonbok Park
Hyeshin Chu
Yunwon Tae
Jaegul Choo
Sungahn Ko
20
14
0
08 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
30
4
0
27 Jul 2022
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised
  Contrastive Loss
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss
Riccardo Franceschini
Enrico Fini
Cigdem Beyan
Alessandro Conti
F. Arrigoni
Elisa Ricci
SSL
OffRL
34
16
0
23 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
32
13
0
22 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
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
Recurrent Transformer Variational Autoencoders for Multi-Action Motion
  Synthesis
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis
Rania Briq
Chuhang Zou
L. Pishchulin
Christopher Broaddus
Juergen Gall
24
1
0
14 Jun 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph
  Learning
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
Tiehua Zhang
Yuze Liu
Zhishu Shen
Ruiqian Xu
Xin Chen
Xiaowei Huang
Xi Zheng
FedML
AI4TS
35
9
0
07 Jun 2022
Sparse Graph Learning from Spatiotemporal Time Series
Sparse Graph Learning from Spatiotemporal Time Series
Andrea Cini
Daniele Zambon
Cesare Alippi
CML
AI4TS
43
18
0
26 May 2022
A spatial-temporal short-term traffic flow prediction model based on
  dynamical-learning graph convolution mechanism
A spatial-temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism
Zhijun Chen
Zheng Lu
Qiushi Chen
Hongliang Zhong
Yishi Zhang
Jie Xue
Delft University of Technology
GNN
AI4TS
22
59
0
10 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph
  Neural Networks with Theoretical Guarantees
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees
Binghui Wang
Youqin Li
Pan Zhou
AAML
31
13
0
07 May 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network
STONet: A Neural-Operator-Driven Spatio-temporal Network
Haitao Lin
Guojiang Zhao
Lirong Wu
Stan Z. Li
AI4TS
AI4CE
15
1
0
18 Apr 2022
Spatio-Temporal-Frequency Graph Attention Convolutional Network for
  Aircraft Recognition Based on Heterogeneous Radar Network
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Hann Meng
Yuexing Peng
Wenbo Wang
Peng Cheng
Yonghui Li
Wei Xiang
32
10
0
15 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Chaoli Wang
J. Han
38
36
0
13 Apr 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive
  Curriculum Learning -- Extended Version
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
Sean Bin Yang
Chenjuan Guo
Jilin Hu
B. Yang
Jiangtao Tang
Christian S. Jensen
27
20
0
30 Mar 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 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
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
31
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
24
22
0
25 Feb 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
37
51
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
31
2
0
18 Feb 2022
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph
  Learning Framework
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Xiangjie Kong
Kailai Wang
Mingliang Hou
Feng Xia
G. Karmakar
Jianxin Li
AI4TS
11
43
0
17 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural
  Network
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network
Yajing Liu
Zhengya Sun
Wensheng Zhang
19
25
0
12 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
99
54
0
08 Feb 2022
Network-level Safety Metrics for Overall Traffic Safety Assessment: A
  Case Study
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study
Xiwen Chen
Hongya Wang
Abolfazl Razi
Brendan J. Russo
Jason L. Pacheco
J. Roberts
Jeffery Wishart
L. Head
Alonso Granados Baca
40
8
0
27 Jan 2022
Fast Transient Stability Prediction Using Grid-informed Temporal and
  Topological Embedding Deep Neural Network
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
Peiyuan Sun
L. Huo
Siyuan Liang
Xin Chen
27
7
0
23 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
Graph Neural Networks for Multivariate Time Series Regression with
  Application to Seismic Data
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
Stefan Bloemheuvel
Jurgen van den Hoogen
Dario Jozinović
A. Michelini
Martin Atzmueller
AI4TS
18
45
0
03 Jan 2022
Graph Neural Networks: a bibliometrics overview
Graph Neural Networks: a bibliometrics overview
Abdalsamad Keramatfar
Mohadeseh Rafiee
Hossein Amirkhani
GNN
AI4CE
42
24
0
03 Jan 2022
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic
  Forecasting
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
Guanyao Li
Shuhan Zhong
Shueng-Han Gary Chan
Ruiyuan Li
Chih-Chieh Hung
Wen-Chih Peng
AI4TS
35
26
0
30 Dec 2021
GOPHER: Categorical probabilistic forecasting with graph structure via
  local continuous-time dynamics
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics
Ke Alexander Wang
Danielle C. Maddix
Yuyang Wang
AI4CE
28
1
0
18 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
37
48
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
38
7
0
14 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
GNN
AI4TS
19
1
0
04 Dec 2021
Network-wide Multi-step Traffic Volume Prediction using Graph
  Convolutional Gated Recurrent Neural Network
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Lei Lin
Weizi Li
Lei Zhu
GNN
AI4TS
9
5
0
22 Nov 2021
Non-separable Spatio-temporal Graph Kernels via SPDEs
Non-separable Spatio-temporal Graph Kernels via SPDEs
A. Nikitin
S. T. John
Arno Solin
Samuel Kaski
AI4TS
25
17
0
16 Nov 2021
Learning Graph Neural Networks for Multivariate Time Series Anomaly
  Detection
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection
Saswati Ray
S. Lakdawala
Mononito Goswami
Chufan Gao
BDL
11
4
0
15 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
AI4TS
GNN
34
1
0
15 Nov 2021
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural
  Networks
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
Guannan Lou
Yuze Liu
Tiehua Zhang
Xi Zheng
FedML
68
14
0
12 Nov 2021
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting
  Leveraging Heterogeneous Community Features
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
H. Farahmand
Yuanchang Xu
Ali Mostafavi
AI4CE
35
38
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
32
24
0
03 Nov 2021
Traffic Forecasting on Traffic Moving Snippets
Traffic Forecasting on Traffic Moving Snippets
Nina Wiedemann
Martin Raubal
AI4TS
16
2
0
27 Oct 2021
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Kin G. Olivares
N. Meetei
Ruijun Ma
Rohan Reddy
Mengfei Cao
Lee Dicker
AI4TS
32
24
0
25 Oct 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
71
28
0
27 Sep 2021
Social-Media Activity Forecasting with Exogenous Information Signals
Social-Media Activity Forecasting with Exogenous Information Signals
Kin Wai Ng
Sameera Horawalavithana
Adriana Iamnitchi
14
1
0
22 Sep 2021
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