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Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
v1v2 (latest)

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
17 February 2022
Ming Jin
Yu Zheng
Yuanhao Li
Siheng Chen
B. Yang
Shirui Pan
    BDLAI4TSAI4CE
ArXiv (abs)PDFHTMLGithub (90★)

Papers citing "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs"

50 / 58 papers shown
Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
Bicheng Wang
Junping Wang
Yibo Xue
AI4CE
174
0
0
10 Oct 2025
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
Hunjae Lee
Corey Clark
115
1
0
23 Sep 2025
C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction
C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction
Yuting Liu
Qiang Zhou
Hanzhe Li
Chenqi Gong
Jingjing Gu
209
0
0
15 Sep 2025
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
Xiaoyu Li
Guangyu Tang
Jiaojiao Jiang
207
1
0
13 Aug 2025
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
Hanchen Yang
Jiaqi Wang
Jiannong Cao
Wengen Li
Jialun Zheng
Yangning Li
Chunyu Miao
Jihong Guan
Shuigeng Zhou
Philip S. Yu
175
5
0
31 Jul 2025
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Runze Yang
LongBing Cao
Xin You
Kun Fang
Jianxun Li
J. Yang
AI4TS
276
1
0
13 Jul 2025
A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting
A Time-Enhanced Data Disentanglement Network for Traffic Flow ForecastingInternational Conference on Intelligent Computing (ICIC), 2025
Tianfan Jiang
Mei Wu
Wenchao Weng
Dewen Seng
Yiqian Lin
OODAI4TS
223
0
0
03 Jun 2025
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Amirhossein Sohrabbeig
Omid Ardakanian
Petr Musilek
AI4TSAI4CE
290
0
0
28 May 2025
Beyond All-to-All: Causal-Aligned Transformer with Dynamic Structure Learning for Multivariate Time Series Forecasting
Beyond All-to-All: Causal-Aligned Transformer with Dynamic Structure Learning for Multivariate Time Series Forecasting
Xingyu Zhang
Wenwen Qiang
Siyu Zhao
Huijie Guo
Jiangmeng Li
Chuxiong Sun
AI4TS
333
1
0
22 May 2025
Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
Tian Sun
Yuqi Chen
Baihua Zheng
Weiwei Sun
227
4
0
20 May 2025
Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal Network
Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal NetworkIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Hang Yin
Yan Zhang
Jian Xu
Jian-Long Chang
Yongbin Li
Cheng-Lin Liu
263
2
0
14 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TSAI4CE
1.4K
20
0
29 Mar 2025
Deep Learning for Time Series Forecasting: A Survey
Deep Learning for Time Series Forecasting: A SurveyInternational Journal of Machine Learning and Cybernetics (IJMLC), 2025
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Xiwei Xu
AI4TSAI4CE
440
71
0
13 Mar 2025
Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
Shi Li
AI4CE
232
0
0
05 Mar 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
Qingbin Liu
369
0
0
21 Jan 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
TPMAI4TS
506
2
0
03 Jan 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled
  Multivariate Time Series Analysis
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2024
Jiexi Liu
Meng Cao
Songcan Chen
AI4TS
367
13
0
17 Dec 2024
Dynamic Graph Representation with Contrastive Learning for Financial
  Market Prediction: Integrating Temporal Evolution and Static Relations
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static RelationsInternational Conference on Agents and Artificial Intelligence (ICAART), 2024
Yunhua Pei
Jin Zheng
John Cartlidge
AIFin
357
5
0
05 Dec 2024
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled
  Multivariate Time Series Analysis
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu
Meng Cao
Songcan Chen
AI4TS
336
1
0
02 Dec 2024
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
Shubham Tanaji Kakde
Rony Mitra
Jasashwi Mandal
Manoj Kumar Tiwari
KELMAI4TS
178
3
0
17 Nov 2024
Fully Automated Correlated Time Series Forecasting in Minutes
Fully Automated Correlated Time Series Forecasting in MinutesProceedings of the VLDB Endowment (PVLDB), 2024
Xinle Wu
Xingjian Wu
Dalin Zhang
Miao Zhang
Chenjuan Guo
Bin Yang
Christian S. Jensen
AI4TS
341
17
0
06 Nov 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly
  Sampled Time Series
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time SeriesNeural Information Processing Systems (NeurIPS), 2024
Giangiacomo Mercatali
André Freitas
Jie Chen
BDLCMLAI4TS
531
10
0
17 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of ExpertsInternational Conference on Learning Representations (ICLR), 2024
Xiaoming Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
775
239
0
24 Sep 2024
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
334
10
0
16 Sep 2024
LogoRA: Local-Global Representation Alignment for Robust Time Series
  Classification
LogoRA: Local-Global Representation Alignment for Robust Time Series ClassificationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Huanyu Zhang
Yi-Fan Zhang
Zhang Zhang
Qingsong Wen
Liwen Wang
AI4TS
232
5
0
12 Sep 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
243
33
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
309
0
0
12 Aug 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal
  Structural Behavior
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior
Melanie Schaller
Daniel Schlor
Andreas Hotho
202
3
0
28 Jun 2024
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for
  Hierarchically Related Multivariate Time Series
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TS
252
4
0
29 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence
On the Identification of Temporally Causal Representation with Instantaneous Dependence
Zijian Li
Yifan Shen
Kaitao Zheng
Ruichu Cai
Xiangchen Song
Biwei Huang
Zhengmao Zhu
Guan-Hong Chen
CML
716
13
0
24 May 2024
Bond Graphs for multi-physics informed Neural Networks for multi-variate
  time series
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
Alexis-Raja Brachet
Pierre-Yves Richard
Céline Hudelot
AI4CE
254
1
0
22 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series
Temporal Graph ODEs for Irregularly-Sampled Time Series
Alessio Gravina
Daniele Zambon
Davide Bacciu
Cesare Alippi
AI4TSCML
327
15
0
30 Apr 2024
Incorporating Domain Differential Equations into Graph Convolutional
  Networks to Lower Generalization Discrepancy
Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy
Yue Sun
Chao Chen
Yuesheng Xu
Sihong Xie
Rick S. Blum
Parv Venkitasubramaniam
AI4TSOOD
346
3
0
01 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Jhon A. Castro-Correa
Jhony H. Giraldo
Mohsen Badiey
Fragkiskos D. Malliaros
435
28
0
28 Mar 2024
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic
  Response
Hybrid2^22 Neural ODE Causal Modeling and an Application to Glycemic Response
Bob Junyi Zou
Matthew E. Levine
D. Zaharieva
Ramesh Johari
Emily Fox
458
8
0
27 Feb 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on
  Domain Adaptation, Out-of-distribution, and Continual Learning
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu
Xin-Yang Zheng
Qin Zhang
Xiao Shen
Xiong Luo
Xingquan Zhu
Shirui Pan
OOD
571
28
0
26 Feb 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical
  Learning
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Zhishuai Li
Yunhao Nie
Ziyue Li
Mengwei He
Yisheng Lv
Rui Zhao
341
6
0
23 Jan 2024
Graph Spatiotemporal Process for Multivariate Time Series Anomaly
  Detection with Missing Values
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing ValuesInformation Fusion (Inf. Fusion), 2024
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Haishuai Wang
Khoa T. Phan
Yi-Ping Phoebe Chen
Shirui Pan
Wei Xiang
AI4TS
258
45
0
11 Jan 2024
Transformer Multivariate Forecasting: Less is More?
Transformer Multivariate Forecasting: Less is More?
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Pascal Bouvry
AI4TS
314
5
0
30 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
310
17
0
18 Dec 2023
PGODE: Towards High-quality System Dynamics Modeling
PGODE: Towards High-quality System Dynamics ModelingInternational Conference on Machine Learning (ICML), 2023
Xiao Luo
Yiyang Gu
Huiyu Jiang
Hang Zhou
Jinsheng Huang
Wei Ju
Zhiping Xiao
Ming Zhang
Luke Huan
AI4CE
368
10
0
11 Nov 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
AI4TSAI4CE
357
42
0
07 Nov 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
509
40
0
24 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
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Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
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Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TSSyDa
489
172
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16 Oct 2023
Graph Neural Stochastic Differential Equations
Graph Neural Stochastic Differential Equations
Richard Bergna
Felix L. Opolka
Pietro Lio
Jose Miguel Hernandez-Lobato
265
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Correlation-aware Spatial-Temporal Graph Learning for Multivariate
  Time-series Anomaly Detection
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
Wei Xiang
AI4TS
352
71
0
17 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TSAI4CE
506
426
0
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Finding the Missing-half: Graph Complementary Learning for
  Homophily-prone and Heterophily-prone Graphs
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone GraphsInternational Conference on Machine Learning (ICML), 2023
Y. Zheng
He Zhang
V. Lee
Yu Zheng
Tianlin Li
Shirui Pan
294
51
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Structure-free Graph Condensation: From Large-scale Graphs to Condensed
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Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free DataNeural Information Processing Systems (NeurIPS), 2023
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
375
93
0
05 Jun 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEsNeural Networks (Neural Netw.), 2023
Guangsi Shi
Daokun Zhang
Ming Jin
Shirui Pan
Philip S. Yu
AI4CE
242
4
0
21 May 2023
12
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