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Connecting the Dots: Multivariate Time Series Forecasting with Graph
  Neural Networks

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

24 May 2020
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Xiaojun Chang
Chengqi Zhang
    AI4TS
ArXivPDFHTML

Papers citing "Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks"

50 / 125 papers shown
Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu
Jinliang Deng
L. Zhang
Zimu Zhou
Yongxin Tong
AI4TS
26
0
0
09 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
Y. Wang
Xiaofeng Hu
Xiaojian Cui
Kai Wang
AI4TS
26
0
0
07 May 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Y. Wang
Yong-Jin Liu
Xiaoyi Duan
Kai Wang
AI4TS
29
1
0
07 May 2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Weiwei Ye
Zhuopeng Xu
Ning Gui
DiffM
56
0
0
07 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Chengsen Wang
Q. Qi
Yufei Guo
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
45
0
0
01 May 2025
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
Xinlong Zhao
L. Zhang
Tianbo Zou
Yan Zhang
AI4TS
26
0
0
01 May 2025
Urban Computing in the Era of Large Language Models
Urban Computing in the Era of Large Language Models
Zhonghang Li
Lianghao Xia
Xubin Ren
J. Tang
Tianyi Chen
Yong-mei Xu
Chenyu Huang
83
0
0
02 Apr 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
J. T. Wang
47
0
0
25 Feb 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
57
0
0
25 Feb 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
João Pedro Matos-Carvalho
Stefano Frizzo Stefenon
Valderi Reis Quietinho Leithardt
Kin-Choong Yow
AI4TS
43
0
0
24 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han
Jingyuan Wang
Y. Wang
Xie Yu
Hao Lin
Chao Li
Junjie Wu
AI4TS
50
1
0
08 Feb 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
Qishen Zhou
Yifan Zhang
Michail A. Makridis
Anastasios Kouvelas
Yibing Wang
Simon Hu
AI4TS
77
1
0
21 Jan 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen
Haocheng Ye
Zhian Ying
Yuntao Sun
Wenqiang Xu
AI4TS
42
6
0
18 Jan 2025
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Qianru Zhang
Xinyi Gao
Haixin Wang
S. Yiu
Hongzhi Yin
AI4TS
37
2
0
15 Jan 2025
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
Jinkun Han
Wei Li
Yongqian Li
Zhipeng Cai
45
2
0
05 Jan 2025
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
J. Liu
Ziáng Wang
MoE
184
0
0
30 Nov 2024
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
Suhan Guo
Jiahong Deng
Yi Wei
Hui Dou
Furao Shen
Jian Zhao
AI4TS
141
0
0
31 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
151
0
0
28 Oct 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of
  Spatial and Temporal Dynamics
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
L. Zheng
Zhengyang Li
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
33
1
0
16 Oct 2024
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
29
3
0
16 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
37
3
0
30 Aug 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
24
1
0
17 Jun 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
Yuxuan Shu
Vasileios Lampos
AI4TS
AI4CE
70
0
0
11 Jun 2024
Learning Latent Graph Structures and their Uncertainty
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
Cesare Alippi
BDL
38
1
0
30 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series
  Forecasting
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai
Yaoyao Zhu
Xueyao Wang
Yu Yao
Mamba
AI4TS
38
7
0
26 May 2024
Optimizing Sales Forecasts through Automated Integration of Market
  Indicators
Optimizing Sales Forecasts through Automated Integration of Market Indicators
Lina Döring
Felix Grumbach
Pascal Reusch
16
0
0
15 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time
  Series Forecasting
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Qinshuo Liu
Yanwen Fang
Pengtao Jiang
Guodong Li
AI4TS
21
0
0
14 May 2024
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive
  Graph-Based Learning
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
D. Ngo
Kandaraj Piamrat
Ons Aouedi
Thomas Hassan
Philippe Raipin-Parvédy
AI4TS
31
0
0
14 May 2024
Context Neural Networks: A Scalable Multivariate Model for Time Series
  Forecasting
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
Abishek Sriramulu
Christoph Bergmeir
Slawek Smyl
AI4TS
23
0
0
12 May 2024
Text-to-Code Generation with Modality-relative Pre-training
Text-to-Code Generation with Modality-relative Pre-training
Fenia Christopoulou
Guchun Zhang
Gerasimos Lampouras
AI4TS
18
1
0
08 Feb 2024
Learning Time-aware Graph Structures for Spatially Correlated Time
  Series Forecasting
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma
Jilin Hu
Christian S. Jensen
Fei Teng
Peng Han
Zhiqiang Xu
Tian-Jie Li
AI4TS
49
3
0
27 Dec 2023
Dynamic Frequency Domain Graph Convolutional Network for Traffic
  Forecasting
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting
Yujie Li
Zezhi Shao
Yongjun Xu
Qiang Qiu
Zhaogang Cao
Fei Wang
AI4TS
GNN
25
4
0
19 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling
  Continuous-time Dynamics
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics
Lanlan Chen
K. Wu
Jian Lou
Jing Liu
31
6
0
18 Dec 2023
Adaptive Dependency Learning Graph Neural Networks
Adaptive Dependency Learning Graph Neural Networks
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TS
AI4CE
32
21
0
06 Dec 2023
ChatTraffic: Text-to-Traffic Generation via Diffusion Model
ChatTraffic: Text-to-Traffic Generation via Diffusion Model
Chengyang Zhang
Yong Zhang
Qitan Shao
Bo Li
Yisheng Lv
Xinglin Piao
Baocai Yin
30
5
0
27 Nov 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
23
58
0
09 Oct 2023
Asynchronous Graph Generator
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
43
0
0
29 Sep 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic
  Forecasting
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Qian Ma
Zijian Zhang
Xiangyu Zhao
Haoliang Li
Hongwei Zhao
Yiqi Wang
Zitao Liu
Wanyu Wang
24
12
0
20 Sep 2023
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic
  Forecasting
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
Mingjie Qiu
Zhiyi Tan
Bingkun Bao
38
6
0
30 Aug 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Zihang Liu
Le Yu
T. Zhu
Lei Sun
AI4TS
21
0
0
22 Aug 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
Nancy R. Xu
Chrysoula Kosma
Michalis Vazirgiannis
AI4TS
AI4CE
38
6
0
27 Jul 2023
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for
  Traffic Forecasting
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting
Binqing Wu
Ling-Hao Chen
GNN
AI4TS
31
3
0
02 Jul 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time
  Series Forecasting
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting
Li Shen
Yuning Wei
Yangzhu Wang
Huaxin Qiu
OOD
AI4TS
13
7
0
19 Jun 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu
Haomin Wen
Haoyuan Hu
Xiaowei Mao
Yutong Xia
...
Y. Liang
Liuqing Yang
Roger Zimmermann
Youfang Lin
Huaiyu Wan
47
8
0
19 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph
  Neural Networks
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland
Jiong Zhu
Mark Heimann
Benjamin Fish
Michael T. Shaub
Danai Koutra
30
5
0
08 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for
  Multivariate Time Series Forecasting Dependency for Multivariate Time Series
  Forecasting
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
Donghao Luo
Xue Wang
BDL
AI4TS
19
2
0
04 Jun 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for
  Multivariate Long-Term Time Series Forecasting
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
Jiaxin Gao
Wenbo Hu
Yuntian Chen
AI4TS
27
13
0
30 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced
  Variational Autoencoders
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Dingsu Wang
Yuchen Yan
Ruizhong Qiu
Yada Zhu
Kaiyu Guan
A. Margenot
Hanghang Tong
AI4TS
43
28
0
29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
45
7
0
26 May 2023
Message Passing Neural Networks for Traffic Forecasting
Message Passing Neural Networks for Traffic Forecasting
Arian Prabowo
Hao Xue
Wei Shao
Piotr Koniusz
Flora D. Salim
GNN
23
6
0
09 May 2023
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