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Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs

https://doi.org/10.1109/tkde.2022.3221989
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Temporal pattern attention for multivariate time series forecasting
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Graph neural network for traffic forecasting: A survey
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25 years of time series forecasting
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Time series forecasting using a hybrid ARIMA and neural network model
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Learning representations by back-propagating errors
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Bidirectional recurrent neural networks
inferredcites →https://doi.org/10.1109/jproc.2024.3369017openalex-snapshot
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
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Graph Self-Supervised Learning: A Survey
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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
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Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
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Forecasting energy time series with profile neural networks
inferredcites →https://doi.org/10.1145/3447548.3467430openalex-snapshot
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1145/3453724openalex-snapshot
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1609/aaai.v34i01.5477openalex-snapshot
GMAN: A Graph Multi-Attention Network for Traffic Prediction
inferredcites →https://doi.org/10.1609/aaai.v34i04.5758openalex-snapshot
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
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Graph Neural Controlled Differential Equations for Traffic Forecasting
inferredcites →https://doi.org/10.17863/cam.46480openalex-snapshot
Bayesian Time Series Learning with Gaussian Processes
inferredcites →https://doi.org/10.2307/1912100openalex-snapshot
Time Series Analysis Forecasting and Control
inferredcites →https://doi.org/10.24963/ijcai.2018/505openalex-snapshot
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
inferredcites →https://doi.org/10.24963/ijcai.2019/264openalex-snapshot
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4337/9780857931023.00012openalex-snapshot
Vector autoregressive models
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1902.07153openalex-snapshot
Simplifying Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1912.00967openalex-snapshot
Continuous Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2005.08926openalex-snapshot
Neural Controlled Differential Equations for Irregular Time Series
inferredcites →https://doi.org/10.48550/arxiv.2101.06861openalex-snapshot
Discrete Graph Structure Learning for Forecasting Multiple Time Series
inferredcites →https://doi.org/10.48550/arxiv.2102.10739openalex-snapshot
Dissecting the Diffusion Process in Linear Graph Convolutional Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1109/tkde.2022.3219209openalex-snapshot
Projective Ranking-based GNN Evasion Attacks
inferred← citeshttps://doi.org/10.1109/tkde.2023.3333824openalex-snapshot
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2024.3349397openalex-snapshot
Learning Graph ODE for Continuous-Time Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3459908openalex-snapshot
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification
inferred← citeshttps://doi.org/10.1109/tkde.2025.3538857openalex-snapshot
TaylorS: A Multi-Order Expansion Structure for Urban Spatio-Temporal Forecasting
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3186103openalex-snapshot
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3325667openalex-snapshot
Correlation-Aware Spatial–Temporal Graph Learning for Multivariate Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3381069openalex-snapshot
Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3542719openalex-snapshot
Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tpami.2023.3290823openalex-snapshot
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
inferred← citeshttps://doi.org/10.1109/tpami.2024.3443141openalex-snapshot
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tpami.2025.3545671openalex-snapshot
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
inferred← citeshttps://doi.org/10.1109/tpami.2025.3602445openalex-snapshot
SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling
inferred← citeshttps://doi.org/10.1109/tr.2024.3514712openalex-snapshot
Predictive and Multigranularity Resilience Assessment of Urban Transportation Based on Neural Controlled Differential Equation
inferred← citeshttps://doi.org/10.1142/s0129156425404395openalex-snapshot
Research on Real Estate Market Prediction Models Based on Big Data and Artificial Intelligence
inferred← citeshttps://doi.org/10.1142/s0129156425404504openalex-snapshot
Artificial Intelligence-Driven Health Monitoring and Early Warning Technology for Concrete Structures
inferred← citeshttps://doi.org/10.1142/s0129156425406151openalex-snapshot
Capacity and Reliability Assessment of Distributed Photovoltaic Microgrid Systems Based on Advanced Computational Methods
inferred← citeshttps://doi.org/10.1142/s0129156425406370openalex-snapshot
Application of Big Data Analytics in Education Management: Enhancing Teaching Quality and Resource Allocation Efficiency
inferred← citeshttps://doi.org/10.1145/3539618.3591743openalex-snapshot
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
inferred← citeshttps://doi.org/10.1145/3637528.3671968openalex-snapshot
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space
inferred← citeshttps://doi.org/10.1145/3677134openalex-snapshot
Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality
inferred← citeshttps://doi.org/10.1145/3690624.3709297openalex-snapshot
Bi-Dynamic Graph ODE for Opinion Evolution
inferred← citeshttps://doi.org/10.1145/3690624.3709340openalex-snapshot
Future Matters for Present: Towards Effective Physical Simulation over Meshes
inferred← citeshttps://doi.org/10.1145/3701716.3715853openalex-snapshot
Time Series Analysis in the Web: Recent Advances and Future Trends
inferred← citeshttps://doi.org/10.1145/3711896.3737057openalex-snapshot
MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection
inferred← citeshttps://doi.org/10.1145/3711896.3737156openalex-snapshot
Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
inferred← citeshttps://doi.org/10.1145/3723359openalex-snapshot
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks
inferred← citeshttps://doi.org/10.1145/3731715.3733272openalex-snapshot
AGGA-MVFLN: Multivariate Time Series Forecasting via Adaptive Generalized Graph Accompanied with Multi-View Learning in Frequency Domain
inferred← citeshttps://doi.org/10.1145/3735651openalex-snapshot
Mitigating Data Redundancy to Revitalize Transformer-Based Long-Term Time Series Forecasting System
inferred← citeshttps://doi.org/10.1145/3742784openalex-snapshot
Graph Deep Learning for Time Series Forecasting
inferred← citeshttps://doi.org/10.1145/3748777.3748812openalex-snapshot
Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends
inferred← citeshttps://doi.org/10.1145/3770855.3818066openalex-snapshot
Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting
inferred← citeshttps://doi.org/10.1145/3773912openalex-snapshot
Open Spatio-Temporal Foundation Models for Traffic Prediction
inferred← citeshttps://doi.org/10.1145/3800973.3801042openalex-snapshot
Asean Cultural Industry Cluster Evolution Prediction and Policy Simulation Using Spatial-Temporal Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1145/3828164openalex-snapshot
Time Series Forecasting Methods: A Systematic Review from Classical Models to Deep Learning
inferred← citeshttps://doi.org/10.1155/acis/2627876openalex-snapshot
When Spatial Message Passing Fails to Help: Graph Attention Networks and Temporal Baselines for Dengue Forecasting
inferred← citeshttps://doi.org/10.1155/ina/2063106openalex-snapshot
Physics‐Informed MTGODE for Indoor CO 2 Concentration Prediction via Integration of Mass Conservation Law
inferred← citeshttps://doi.org/10.1155/int/3890049openalex-snapshot
Time Series Forecasting Based on Multiscale Fusion Transformer in Finance
inferred← citeshttps://doi.org/10.1177/03611981241295706openalex-snapshot
Dynamic Spatio-Temporal Residual Hypergraph Convolutional Networks for Traffic Flow Forecasting
inferred← citeshttps://doi.org/10.1177/10775463241259619openalex-snapshot
Remaining useful life prediction for rolling bearings based on adaptive aggregation of dynamic feature correlations
inferred← citeshttps://doi.org/10.14778/3705829.3705835openalex-snapshot
Fully Automated Correlated Time Series Forecasting in Minutes
inferred← citeshttps://doi.org/10.14778/3746405.3746436openalex-snapshot
UFGTime: Mining Intertwined Dependencies in Multivariate Time Series via an Efficient Pure Graph Approach
inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28670openalex-snapshot
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
inferred← citeshttps://doi.org/10.18178/wcse.2023.06.051openalex-snapshot
Dual-channel Feature Fusion Model for Air Pollutants Forecast
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3972614/v1openalex-snapshot
Multi-Frequency Graph Neural Rough Differential Equations for Traffic Forecasting
inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11179552openalex-snapshot
FSLC: Feature Selection and Layered Convolution for Long-Term Time Series Forecasting
inferred← citeshttps://doi.org/10.3233/jifs-241008openalex-snapshot
Dynamic graph spatial-temporal dependence information extraction for remaining useful life prediction of rolling bearings
inferred← citeshttps://doi.org/10.3389/fenvs.2025.1550745openalex-snapshot
Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations
inferred← citeshttps://doi.org/10.3389/fenvs.2025.1557665openalex-snapshot
Water resource asset assessment and financial decision support based on multi-source remote sensing data
inferred← citeshttps://doi.org/10.3389/fmech.2024.1397131openalex-snapshot
On the generalization discrepancy of spatiotemporal dynamics-informed graph convolutional networks
inferred← citeshttps://doi.org/10.3389/fpubh.2025.1540618openalex-snapshot
An empirical study of preventive healthcare policy under the synergy of education and corporate financial monitoring
inferred← citeshttps://doi.org/10.3390/drones8080377openalex-snapshot
Enhanced Trajectory Forecasting for Hypersonic Glide Vehicle via Physics-Embedded Neural ODE
inferred← citeshttps://doi.org/10.3390/electronics15040874openalex-snapshot
TGCformer: A Transformer-Based Dual-Channel Fusion Framework for Power Load Anomaly Detection
inferred← citeshttps://doi.org/10.3390/electronics15112369openalex-snapshot
Dynamic Graph Construction and Continuous Spatiotemporal Evolution for Traffic Forecasting
inferred← citeshttps://doi.org/10.3390/info14110598openalex-snapshot
Deep Learning for Time Series Forecasting: Advances and Open Problems
inferred← citeshttps://doi.org/10.3390/make7030088openalex-snapshot
A Novel Spatio-Temporal Graph Convolutional Network with Attention Mechanism for PM2.5 Concentration Prediction
inferred← citeshttps://doi.org/10.3390/math14081341openalex-snapshot
Neuro-Prismatic Video Models for Causality-Aware Action Recognition in Neural Rehabilitation Systems
inferred← citeshttps://doi.org/10.3390/s26196238openalex-snapshot
Unified Cross-Variable Correlation Learning for Long-Term Multivariate Time Series Forecasting
inferred← citeshttps://doi.org/10.70675/dd69d4f4ze1efz446czb4dfz2eb82ce78acaopenalex-snapshot
Towards Robust Deep Learning Methods for Time Series Data and their Applications
inferred← citeshttps://doi.org/10.70675/f3a6218cz3d13z4bc4z9adfze2f8a893f728openalex-snapshot
Dependency modelling in co-evolving time series
inferred← citeshttps://doi.org/10.7717/peerj-cs.2998openalex-snapshot
Tracing truth: dynamic temporal networks for multi-modal fake news detection
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