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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 / 82 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
21
0
0
09 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
51
0
0
07 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
24
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
Y. Liu
Xiaoyi Duan
Kai Wang
AI4TS
24
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
J. Wang
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
42
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
23
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
C. Huang
73
0
0
02 Apr 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
52
0
0
25 Feb 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
40
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
38
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
75
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
36
5
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
35
2
0
15 Jan 2025
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
Jinkun Han
Wei Li
Y. Li
Zhipeng Cai
35
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
98
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
F. Shen
Jian Zhao
AI4TS
70
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
56
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
18
1
0
16 Oct 2024
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
16
1
0
16 Sep 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
22
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
55
0
0
11 Jun 2024
Learning Latent Graph Structures and their Uncertainty
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
C. Alippi
BDL
22
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
33
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
11
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
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
21
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
13
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
44
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
17
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
18
5
0
18 Dec 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
18
56
0
09 Oct 2023
Asynchronous Graph Generator
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
41
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
8
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
28
5
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
19
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
23
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
15
3
0
02 Jul 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
37
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
23
5
0
08 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
19
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
28
27
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
X. Zhang
Jing Chen
BDL
32
6
0
26 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
26
14
0
12 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel
  Independent Strategy for Multivariate Time Series Forecasting
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han
Han-Jia Ye
De-Chuan Zhan
AI4TS
15
82
0
11 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time
  Series Classification
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Huaiyuan Liu
Xianzhang Liu
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Yong Cui
Jun Gu
AI4TS
30
26
0
11 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
31
4
0
06 Apr 2023
BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power
  Forecasting in Baidu KDD CUP 2022
BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
Jiawei Jiang
Chengkai Han
Jingyuan Wang
14
4
0
22 Feb 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for
  Meteorological Forecasting Based on Real-Time Observation Data from Ground
  Weather Stations
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Xun Zhu
Yutong Xiong
Ming Wu
Gaozhen Nie
Bin Zhang
Ziheng Yang
AI4TS
19
17
0
21 Feb 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in
  Traffic Forecasting
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo
Wei Shao
Hao Xue
Piotr Koniusz
Flora D. Salim
AI4TS
23
14
0
20 Feb 2023
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