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A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
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Deep learning for time series classification: a review
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Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns
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Recurrent Neural Networks for Multivariate Time Series with Missing Values
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Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data
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Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
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Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
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Machine Learning Based Approaches for Imputation in Time Series Data and their Impact on Forecasting
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Optimal Graph Structure Based Short-Term Solar PV Power Forecasting Method Considering Surrounding Spatio-Temporal Correlations
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Graph Neural Networks for Intelligent Transportation Systems: A Survey
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Deep Learning for Spatio-Temporal Data Mining: A Survey
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Graph Self-Supervised Learning: A Survey
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Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs
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Hyperbolic Temporal Network Embedding
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Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
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Concept Drift and Anomaly Detection in Graph Streams
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Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
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A Comprehensive Survey on Graph Neural Networks
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An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
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Robust Load Forecasting Towards Adversarial Attacks via Bayesian Learning
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Discrete Signal Processing on Graphs
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Change-Point Methods on a Sequence of Graphs
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Towards Similarity-Aware Time-Series Classification
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Time Series Classification with HIVE-COTE
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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
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Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
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Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
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Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
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ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed
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Traffic Flow Prediction via Spatial Temporal Graph Neural Network
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Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
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Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
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Explainability-based Backdoor Attacks Against Graph Neural Networks
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Domain Adversarial Spatial-Temporal Network
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Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series
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Multi-Variate Time Series Forecasting on Variable Subsets
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Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
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Robust Time Series Analysis and Applications
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Graph Neural Networks in IoT: A Survey
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Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
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Deep Learning for Time Series Anomaly Detection: A Survey
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Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
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An Introduction to Variational Autoencoders
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Session-Based Recommendation with Graph Neural Networks
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
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Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
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Spatio-Temporal Graph Structure Learning for Traffic Forecasting
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GMAN: A Graph Multi-Attention Network for Traffic Prediction
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Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
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Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
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Hierarchical Graph Convolution Network for Traffic Forecasting
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Generative Semi-supervised Learning for Multivariate Time Series Imputation
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Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
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Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
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Inductive Graph Neural Networks for Spatiotemporal Kriging
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Transfer Graph Neural Networks for Pandemic Forecasting
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Graph Neural Controlled Differential Equations for Traffic Forecasting
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Scalable Spatiotemporal Graph Neural Networks
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Convolutional neural networks for time series classification
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Graph WaveNet for Deep Spatial-Temporal Graph Modeling
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GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
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Transformers in Time Series: A Survey
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Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting
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Spatio-Temporal Graph Neural Networks: A Survey
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Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
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Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.6146645openalex-extracted
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inferred← citeshttps://doi.org/10.1002/est2.70216openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-0716-5492-7_19openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-53468-3_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-71821-2_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-72117-5_45openalex-snapshot
Interpretable Phenotypic Profiling of 3D Cellular Morphodynamics
inferred← citeshttps://doi.org/10.1007/978-3-031-78347-0_11openalex-snapshot
Multi-scale Value-Density Transformer with Medical Semantic Guidance for Disease Risk Prediction Based on Clinical Time Series
inferred← citeshttps://doi.org/10.1007/978-3-031-91398-3_28openalex-snapshot
Two-in-One Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient Under Anesthesia
inferred← citeshttps://doi.org/10.1007/978-3-031-91398-3_8openalex-snapshot
Assessing the Graph Structure Learning in Graph Deviation Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-03695-7_40openalex-snapshot
Human Activity Recognition Using MinLSTM in a Federated Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-08704-1_24openalex-snapshot
An Analysis of Spatio-Temporal Graph Neural Networks Based on Synthetic Time Series with Known Structural Dependencies
inferred← citeshttps://doi.org/10.1007/978-3-032-14038-8_15openalex-snapshot
Air Quality Analysis Using Time Series Extrinsic Regression
inferred← citeshttps://doi.org/10.1007/978-3-032-18509-9_5openalex-snapshot
Transformer or Not? A Review of Recent Progress in Time Series Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-23833-7_9openalex-snapshot
NTS-DAGMA: A Score-Based Causal Discovery for Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-37676-3_25openalex-snapshot
Latent-to-Observable Score Correction for Probabilistic Time Series Imputation
inferred← citeshttps://doi.org/10.1007/978-3-662-72243-5_8openalex-snapshot
Multi-class and Multi-task Strategies for Neural Directed Link Prediction
inferred← citeshttps://doi.org/10.1007/978-981-92-1465-5_16openalex-snapshot
C2FFormer: Coarse-to-Fine Time Series Imputation via Autoregressive Transformer
inferred← citeshttps://doi.org/10.1007/978-981-92-3384-7_38openalex-snapshot
SF-GCN: A Spatial-Frequency Dual-Domain Graph Convolutional Framework for Domain-Generalizable Time Series Forecasting
inferred← citeshttps://doi.org/10.1007/978-981-95-0006-2_11openalex-snapshot
OOD Generalization of GNNs Through Causal Stabilization Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-3543-9_19openalex-snapshot
EAGLE: Ensemble Adaptive Graph Learning for Enhanced Ethereum Fraud Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-3827-0_8openalex-snapshot
DySA-TGN: Dynamic Self-adaptive Temporal Graph Neural Network for Multivariate Time Series Classification
inferred← citeshttps://doi.org/10.1007/978-981-95-4957-3_32openalex-snapshot
A Comprehensive Solution to Early Fault Detection in Continuous Integration Servers
inferred← citeshttps://doi.org/10.1007/978-981-95-6733-1_10openalex-snapshot
RDPFlow: A Conditional Diffusion Model for Traffic Flow Prediction with Point-Wise Missing Data
inferred← citeshttps://doi.org/10.1007/978-981-95-6736-2_13openalex-snapshot
Hypersonic Vehicle State Time-Series Prediction Based on PG-DGNet
inferred← citeshttps://doi.org/10.1007/978-981-95-8414-7_24openalex-snapshot
DAF-Net: Dynamic Aggregation and Cycle-Aware Frequency Mechanism for Time Series Forecasting
inferred← citeshttps://doi.org/10.1007/978-981-95-9884-7_16openalex-snapshot
Research on Moisture Prediction Based on Spatio-Temporal Graph Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-96-9881-3_42openalex-snapshot
IS-ANED: Dual-Module Graph Learning with Hybrid Attention for Edge Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-96-9921-6_23openalex-snapshot
Multi-Scale Laplace Method for Unsupervised Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-97-5569-1_28openalex-snapshot
Knowledge-aware Multi-scale Time Series Abnormal Segment Detection
inferred← citeshttps://doi.org/10.1007/978-981-97-8043-3_104openalex-snapshot
Exploring Multi-Layer Perceptrons for Time Series Classification in Networks
inferred← citeshttps://doi.org/10.1007/s10044-026-01689-wopenalex-snapshot
Integrating contrastive representation learning and temporal attention into spatiotemporal graph convolution for pedestrian motion prediction
inferred← citeshttps://doi.org/10.1007/s10115-025-02607-yopenalex-snapshot
A comprehensive survey on statistical and deep learning models for panel data analysis
inferred← citeshttps://doi.org/10.1007/s10462-024-10949-2openalex-snapshot
Graph pooling for graph-level representation learning: a survey
inferred← citeshttps://doi.org/10.1007/s10489-024-06031-7openalex-snapshot
Tracking-removed neural network with graph information for classification of incomplete data
inferred← citeshttps://doi.org/10.1007/s10489-026-07408-6openalex-snapshot
Traffic flow prediction using multiscale diffusion model guided by wavelet transform
inferred← citeshttps://doi.org/10.1007/s10586-025-05574-9openalex-snapshot
Kolmogorov-Arnold networks for time series forecasting: a comprehensive review
inferred← citeshttps://doi.org/10.1007/s10586-025-05772-5openalex-snapshot
GRU contrast discrepancy-based anomaly detection for multi-sensor signals from temporal and spatial perspectives
inferred← citeshttps://doi.org/10.1007/s10586-026-06098-6openalex-snapshot
Resource-efficient anomaly detection in social media accounts using lightweight LLM models: a review of methods, challenges, and future trends
inferred← citeshttps://doi.org/10.1007/s10614-025-11114-9openalex-snapshot
Graph-Based Inductive Learning for Credit Risk Prediction with Imbalance Mitigation
inferred← citeshttps://doi.org/10.1007/s10967-026-11151-0openalex-snapshot
AI-based multivariate analysis of environmental radiation dose trends in Taiwan
inferred← citeshttps://doi.org/10.1007/s10994-025-06848-4openalex-snapshot
Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak
inferred← citeshttps://doi.org/10.1007/s10994-025-06963-2openalex-snapshot
Collaborative Multivariate Time Series Forecasting via Variable-Tailored Inter-temporal Graph and Adaptive-Smooth Frequency Fusion
inferred← citeshttps://doi.org/10.1007/s10994-026-07113-yopenalex-snapshot
A Temporal Graph Learning Framework for Lead-Lag Detection in Financial Markets
inferred← citeshttps://doi.org/10.1007/s11192-025-05516-7openalex-snapshot
Recommending university-industry collaboration: a topic-institution graph-based solution
inferred← citeshttps://doi.org/10.1007/s11227-024-06672-yopenalex-snapshot
ChebyshevNet: a novel time series analysis model using Chebyshev polynomial
inferred← citeshttps://doi.org/10.1007/s11227-025-06917-4openalex-snapshot
Robust graph neural networks based on feature fusion
inferred← citeshttps://doi.org/10.1007/s11227-025-07455-9openalex-snapshot
Dynamic graph contrastive learning for multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1007/s11227-026-08257-3openalex-snapshot
Dgaad: a novel attention-based model for HPC anomaly detection
inferred← citeshttps://doi.org/10.1007/s11263-025-02647-5openalex-snapshot
Concept-Based Explanation for Deep Vision Models: A Comprehensive Survey on Techniques, Taxonomy, Applications, and Recent Advances
inferred← citeshttps://doi.org/10.1007/s11269-025-04311-6openalex-snapshot
A Novel Multitype Graph Fusion Framework for Short-term Water Demand Forecasting
inferred← citeshttps://doi.org/10.1007/s11269-025-04489-9openalex-snapshot
Traceable Risk Evolution Forecasting for Irrigation Districts Driven by Enhanced Spatiotemporal Attention (ESTAM)
inferred← citeshttps://doi.org/10.1007/s11269-026-04501-wopenalex-snapshot
Multi-Target Water Demand Forecasting with Graph Neural Networks: A Comparative Study
inferred← citeshttps://doi.org/10.1007/s12145-026-02232-5openalex-snapshot
A lag-controlled residual benchmark for graph-based geospatial modelling of vegetation productivity
inferred← citeshttps://doi.org/10.1007/s13042-025-02885-6openalex-snapshot
The stock price prediction based on a multi-scale adaptive decoding network
inferred← citeshttps://doi.org/10.1007/s13042-025-02973-7openalex-snapshot
Enhancing pedestrian trajectory prediction with dynamic interaction pruning and dual-path encoding
inferred← citeshttps://doi.org/10.1007/s13042-026-02990-0openalex-snapshot
Multivariate time series anomaly detection based on multi-view multi-grained graph contrastive learning
inferred← citeshttps://doi.org/10.1007/s13177-026-00692-zopenalex-snapshot
Deep Learning for Vehicle Trajectory Prediction: A Comprehensive Review of Task Formulation, Spatiotemporal Interaction, Multimodal Generation, and Evaluation Frameworks
inferred← citeshttps://doi.org/10.1007/s13222-024-00488-zopenalex-snapshot
Imputation Strategies in Time Series Based on Language Models
inferred← citeshttps://doi.org/10.1007/s13369-024-09821-wopenalex-snapshot
Enhancing Anomaly Detection in Multivariate Time Series with Stacked Transformer Encoders and Adaptive Positional Embeddings
inferred← citeshttps://doi.org/10.1007/s13762-025-06599-8openalex-snapshot
Hybrid graph convolutional networks for air quality prediction: a systematic review of foundations, challenges, and opportunities
inferred← citeshttps://doi.org/10.1007/s40745-025-00662-4openalex-snapshot
Adaptive Hierarchical Attention for Multivariate Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/s40747-025-01839-3openalex-snapshot
Self-attention-based graph transformation learning for anomaly detection in multivariate time series
inferred← citeshttps://doi.org/10.1007/s40747-025-02069-3openalex-snapshot
Optimized edge weighting in graph neural networks for server performance anomaly detection
inferred← citeshttps://doi.org/10.1007/s40747-025-02120-3openalex-snapshot
U-SegTime: a time series segmentation model for detecting high-voltage direct current interference events in geomagnetic field observation data
inferred← citeshttps://doi.org/10.1007/s40747-025-02185-0openalex-snapshot
Decoding digital footprints: user re-identification through mobility pattern decomposition and collaborative fusion
inferred← citeshttps://doi.org/10.1007/s41019-025-00337-3openalex-snapshot
IBformer: Inductive Bias is Necessary for Multivariate Time Series Forecasting
inferred← citeshttps://doi.org/10.1007/s41060-024-00656-0openalex-snapshot
Statistically inspired discrepancy detection for anomalous spatio-temporal graphs
inferred← citeshttps://doi.org/10.1007/s41060-025-00913-wopenalex-snapshot
Context-aware anomaly detection in attributed graphs via deep skip-gram and multi-level feature fusion
inferred← citeshttps://doi.org/10.1007/s41060-026-01124-7openalex-snapshot
IPIF: an imputation-and-prediction integrated framework for ultra-data-oriented parallel fractional hot-deck imputation
inferred← citeshttps://doi.org/10.1007/s42421-025-00124-6openalex-snapshot
Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook
inferred← citeshttps://doi.org/10.1007/s42452-026-09141-8openalex-snapshot
Quantum gravitational field network for spatial distribution and flow prediction of high end talent
inferred← citeshttps://doi.org/10.1007/s43926-025-00256-9openalex-snapshot
Real-time anomaly detection in IoT streams through spatiotemporal patterns
inferred← citeshttps://doi.org/10.1007/s44163-026-01213-3openalex-snapshot
Service dependency modeling and failure propagation prediction in distributed systems based on graph neural networks
inferred← citeshttps://doi.org/10.1007/s44163-026-02016-2openalex-snapshot
Llm-assisted physics-guided spatiotemporal graph learning for power meteorological disaster evolution
inferred← citeshttps://doi.org/10.1007/s44199-024-00095-7openalex-snapshot
Imputation Methods Based on Cluster-Wise Linear Regression: A Mathematical Programming Approach
inferred← citeshttps://doi.org/10.1007/s44443-026-00595-9openalex-snapshot
HyperDet: Cross-modal hypergraph fusion for enhanced object detection in UAV imagery
inferred← citeshttps://doi.org/10.1007/s44443-026-00943-9openalex-snapshot
MSBA-LSTM: a multi-scale bidirectional attention long short-term memory network for early risk prediction from multimodal wearable sensor time-series data in sports
inferred← citeshttps://doi.org/10.1007/s44443-026-01284-3openalex-snapshot
SIGMA-AD: spatio-temporal integrated graph Mamba architecture for multivariate time-series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.actaastro.2025.12.001openalex-snapshot
Fine-grained space object classification with Convolution-Boosted LSTM using light curves: A new method and a large scale dataset
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102357openalex-snapshot
From anomaly detection to classification with graph attention and transformer for multivariate time series
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103506openalex-snapshot
RTFnet: A multi-modal physiological data fusion approach for fatigue detection in remote tower controllers
inferred← citeshttps://doi.org/10.1016/j.aei.2026.104791openalex-snapshot
Deep Graph Learning for Spatial-Temporal Group-Correlated In-Service Performance Prediction of Transportation Infrastructure System
inferred← citeshttps://doi.org/10.1016/j.aei.2026.105182openalex-snapshot
GTSFlow: Knowledge-guided spectral-topology flow matching for data-scarce fault diagnosis in wide-body mining dump trucks
inferred← citeshttps://doi.org/10.1016/j.aiia.2025.10.007openalex-snapshot
STGMAE: A GNSS data-driven pre-training spatiotemporal graph masked autoencoder for agricultural machinery trajectory operation mode identification
inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.126964openalex-snapshot
A hybrid deep learning framework for multivariate energy forecasting and peak load prediction in electric vehicle charging infrastructure
inferred← citeshttps://doi.org/10.1016/j.apenergy.2026.128936openalex-snapshot
Probabilistic assessment method for demand response potential of 5G base stations considering user spatiotemporal distribution
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113214openalex-snapshot
TAS-TsC: A data-driven framework for Estimating Time of Arrival using Temporal-Attribute-Spatial Tri-space Coordination of truck trajectories
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113758openalex-snapshot
Enhancing nonlinear dependencies of Mamba via negative feedback for time series forecasting
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.114284openalex-snapshot
A long- and short-term feature fusion network for wind speed forecasting
inferred← citeshttps://doi.org/10.1016/j.ast.2026.112051openalex-snapshot
Aircraft engine performance prediction via a physics-informed two-stage network framework
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107842openalex-snapshot
WEFormer: Classification for physiological time series with small sample sizes based on wavelet decomposition and time series foundation models
inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.112963openalex-snapshot
Graph-based spatial–temporal prediction and feature interaction analysis of CO 2 and occupant in large indoor space
inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.113346openalex-snapshot
Adaptive spatio-temporal graph convolutional network for rapid indoor temperature field prediction with limited sensors
inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.113473openalex-snapshot
Sustainable greenhouse microclimate modeling: A comparative analysis of recurrent and Graph Neural Networks
inferred← citeshttps://doi.org/10.1016/j.catena.2025.109425openalex-snapshot
Graph-based and machine learning approaches for soil depth prediction in a reservoir landscape: A case study in Dazhou County, Chongqing, China
inferred← citeshttps://doi.org/10.1016/j.chaos.2026.119042openalex-snapshot
EntroTS: Entropy-guided representation learning for time series classification
inferred← citeshttps://doi.org/10.1016/j.chaos.2026.119197openalex-snapshot
Frequency-enhanced dual-graph modeling with reinforcement learning for wind power forecasting
inferred← citeshttps://doi.org/10.1016/j.cherd.2025.07.041openalex-snapshot
Root cause diagnosis of industrial process faults using LSTM-GAT based on generalized vector autoregression
inferred← citeshttps://doi.org/10.1016/j.cherd.2025.11.027openalex-snapshot
Numerical simulation of continuous-flow reaction of Fischer-Tropsch synthesis in an asymmetric AFR and its prediction framework based on deep learning
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110628openalex-snapshot
Neural relational and dynamics inference for complex systems
inferred← citeshttps://doi.org/10.1016/j.cie.2025.111023openalex-snapshot
Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning
inferred← citeshttps://doi.org/10.1016/j.cie.2026.111872openalex-snapshot
Process-aware graph-temporal framework for equipment prognostics with multimodal data at semiconductor final test
inferred← citeshttps://doi.org/10.1016/j.cja.2025.103426openalex-snapshot
TEMPO: Time-evolving multi-period observational anomaly detection method for space probes
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108406openalex-snapshot
Conv-RGNN: An efficient Convolutional Residual Graph Neural Network for ECG classification
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111804openalex-snapshot
TranDA: Behavior traceable anomaly detection and attribution for 5G control plane via message sequence analysis
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112320openalex-snapshot
XAI-CPS: An explainable hybrid deep learning framework for real-time anomaly detection and adaptive threat mitigation in networked Cyber–Physical Systems
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112424openalex-snapshot
Diffusion-enhanced intrusion detection method for imbalanced network traffic
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109496openalex-snapshot
Development and application of an innovative dissolved oxygen prediction fusion model
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109601openalex-snapshot
A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111895openalex-snapshot
Development and validation of an interpretable EEG-based deep learning framework for estrus detection in dairy cows
inferred← citeshttps://doi.org/10.1016/j.compchemeng.2025.109242openalex-snapshot
A graph convolutional LSTM approach for modeling nonlinear chemical process networks using spatial–temporal data
inferred← citeshttps://doi.org/10.1016/j.compind.2026.104557openalex-snapshot
Inferring network-level alarm influence pathways for cellular infrastructure reliability
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100953openalex-snapshot
A comprehensive review of time series classification: Traditional, deep learning, and few-shot learning Methods
inferred← citeshttps://doi.org/10.1016/j.displa.2024.102775openalex-snapshot
Outlier detection in temporal and spatial sequences via correlation analysis based on graph neural networks
inferred← citeshttps://doi.org/10.1016/j.dsr2.2026.105599openalex-snapshot
More than co-occurrence: what amplicon time series data can tell us
inferred← citeshttps://doi.org/10.1016/j.egyai.2026.100754openalex-snapshot
Measurement data recovery for power distribution systems based on physics-guided spatio-temporal graph neural network and online data fusion
inferred← citeshttps://doi.org/10.1016/j.egyr.2025.03.056openalex-snapshot
MRGNN: Multi-resolution graph neural network for electricity load forecasting
inferred← citeshttps://doi.org/10.1016/j.energy.2025.136876openalex-snapshot
DGAT: Dynamic Graph Attention-Transformer network for battery state of health multi-step prediction
inferred← citeshttps://doi.org/10.1016/j.energy.2025.139527openalex-snapshot
Daily gas production prediction for a single CBM well using an integrated framework of temporal-multivariate dependency simultaneous modeling: A case study
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110161openalex-snapshot
Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio–temporal forecasting
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111933openalex-snapshot
Ego-centric multiple-correlation and temporal graph neural networks based residential load forecasting
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112216openalex-snapshot
A multi-teacher knowledge distillation-based framework for long-term respiratory monitoring and prediction with a novel flexible wearable sensor in healthcare engineering
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112710openalex-snapshot
Shapelet and Graph Convolutional Network with transformer for Channel Access Attacks classification
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113102openalex-snapshot
Adaptive Trend–Fluctuation Decomposition based Dual-Branch Graph Network for spatio-temporal forecasting
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113939openalex-snapshot
Fourier-enhanced sequence-to-sequence latent graph neural networks for multi-node spatiotemporal forecasting in a hydroelectric reservoir
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114600openalex-snapshot
A Temporal-spatial Causal Variational Network for accurate sintering temperature forecasting in rotary kilns
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115294openalex-snapshot
Multi-scale hierarchical causality-inspired graph network for interpretable anomaly detection in industrial time series
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115767openalex-snapshot
Temporal–channel decoupled learning for sea state estimation from ship motion data under class imbalance
inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106731openalex-snapshot
STGCN-WQ: A new Spatio-Temporal Graph Convolutional Network for predicting beach Water Quality
inferred← citeshttps://doi.org/10.1016/j.envsoft.2026.107037openalex-snapshot
Enhancement of hydrological time series prediction with Real-World Time Series Generative Adversarial Network-based synthetic data and deep learning models
inferred← citeshttps://doi.org/10.1016/j.epsr.2026.112768openalex-snapshot
Ultra-short-term wind power forecasting based on multi-scale dual-domain fusion
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124155openalex-snapshot
Time and frequency-domain feature fusion network for multivariate time series classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124348openalex-snapshot
An interpretable graph neural network for real-world satellite power system anomaly detection based on graph filtering
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128143openalex-snapshot
Unveiling risk propagation: a lead-lag-aware framework for financial market prediction
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128836openalex-snapshot
Noise adaptive spatiotemporal neural networks for deformation prediction of high rockfill dams
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129923openalex-snapshot
PHGAT: Persistent homology-enhanced graph attention network for IIoT anomaly detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129976openalex-snapshot
Semantic-aware contrastive learning for graph classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130893openalex-snapshot
Dynamic adaptive parsing of temporal and cross-variable patterns for network state classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133233openalex-snapshot
TS-GNN: Modeling temporal-semantic discrepancy for graph-based credit card fraud detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133798openalex-snapshot
Credit risk assessment in supply chain finance using dynamic temporal evolution hypergraph neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133974openalex-snapshot
Revealing hidden operational regimes in public transport networks through functional graph construction from large-scale bus trajectories
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134263openalex-snapshot
Directed hybrid graph learning under physical constraints for long-term runoff forecasting
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134549openalex-snapshot
Bridging semantic and physical spaces: Paradigms and mechanisms of spatio-temporal large language models in transportation and urban computing
inferred← citeshttps://doi.org/10.1016/j.future.2026.108524openalex-snapshot
Graph-based federated learning for smart healthcare: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.health.2026.100447openalex-snapshot
An analytics framework for graph-based anomaly detection in healthcare time series
inferred← citeshttps://doi.org/10.1016/j.health.2026.100467openalex-snapshot
A physiology-guided temporal graph learning approach for intensive care mortality prediction
inferred← citeshttps://doi.org/10.1016/j.ijcip.2026.100877openalex-snapshot
Improved spatio-temporal feature fusion-based anomaly detection in industrial digital twins
inferred← citeshttps://doi.org/10.1016/j.ijepes.2026.111642openalex-snapshot
Ultra-short-term photovoltaic power prediction based on reprogrammed large language models
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102255openalex-snapshot
Graph spatiotemporal process for multivariate time series anomaly detection with missing values
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102589openalex-snapshot
MixMamba: Time series modeling with adaptive expertise
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102906openalex-snapshot
TIAN: A time series Imaging Association Network for human abnormal behavior detection
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103313openalex-snapshot
Low-rank tucker decomposition for multi-view outlier detection based on meta-learning
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103445openalex-snapshot
Identifying the temporal distribution structure in multivariate data for time-series segmentation based on two-sample test
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.104082openalex-snapshot
Scoping review of multimodal sentiment analysis and summarization: State of the art, challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104798openalex-snapshot
Multimodal anomaly detection based on multi-kernel fuzzy rough sets
inferred← citeshttps://doi.org/10.1016/j.ins.2025.121939openalex-snapshot
Harnessing logic heterograph learning for financial operational risks: A perspective of cluster and thin-tailed distributions
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122109openalex-snapshot
Batch active learning for time-series classification with multi-mode exploration
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122126openalex-snapshot
DPSN-STHA: A dynamic perception model of similar nodes with spatial-temporal heterogeneity attention for traffic flow forecasting
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122602openalex-snapshot
STEMLP: A spatial-temporal embedding multi-layer perceptron for traffic flow prediction
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122789openalex-snapshot
Explainable multivariate time series anomaly detection by feature graph structure learning
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123370openalex-snapshot
ECG-GTMD: A CVD diagnosis model based on graph-transformer with multi-domain fusion of spatiotemporal and band features
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123789openalex-snapshot
GAT-BiLSTM: Smart home anomaly detection based on spatiotemporal attention fusion
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104198openalex-snapshot
A Noise-Resistant Model for Graph-based Fraud Detection
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104331openalex-snapshot
Information Processing Dynamic Graph For Knowledge Tracing
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104822openalex-snapshot
DiPaNet: Discriminative Pattern-aware Network for Multivariate Time Series Classification
inferred← citeshttps://doi.org/10.1016/j.iswa.2026.200700openalex-snapshot
Temporal multivariate mixture density networks for enhanced portfolio optimization
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104951openalex-snapshot
Mitigating data Constraints in crop mapping: A self-supervised framework integrating adaptive clustering, graph convolution and global spatiotemporal attention
inferred← citeshttps://doi.org/10.1016/j.jajp.2025.100368openalex-snapshot
Quality assurance of clinched joints using explainable machine learning
inferred← citeshttps://doi.org/10.1016/j.jbi.2024.104616openalex-snapshot
Graph neural networks for clinical risk prediction based on electronic health records: A survey
inferred← citeshttps://doi.org/10.1016/j.jbi.2025.104969openalex-snapshot
Graph-spa: A Spatiotemporal Graph Neural Network based framework for ARDS prediction and interpretability
inferred← citeshttps://doi.org/10.1016/j.jclepro.2026.148385openalex-snapshot
Exploring the carbon footprint of time-series prediction models
inferred← citeshttps://doi.org/10.1016/j.jclepro.2026.148414openalex-snapshot
Performance-efficiency trade-off for multiple reagent dosage regulation using lightweight deep reinforcement learning in full-scale drinking water treatment plant
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133168openalex-snapshot
A visualizable deep learning model for multiscale precipitation-driven karst spring discharge
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.136250openalex-snapshot
Spatial attribution analysis of river water quality by integrating remote sensing inversion and multi-source land cover data: An interpretable topological residual Knowledge-Driven Graph Attention Network (ITRK-GAT)
inferred← citeshttps://doi.org/10.1016/j.jii.2026.101072openalex-snapshot
A survey of integrated multi-layer security for continuous-process industrial control systems: Insights from a steel manufacturing sector
inferred← citeshttps://doi.org/10.1016/j.jmsy.2025.01.006openalex-snapshot
A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin
inferred← citeshttps://doi.org/10.1016/j.jnlssr.2026.100354openalex-snapshot
Early warning of operators’ thermal-discomfort-induced cognitive impairment via ECG-fNIRS monitoring and dynamic spatio-temporal graph learning model
inferred← citeshttps://doi.org/10.1016/j.jtte.2025.03.001openalex-snapshot
Traffic prediction in time series, spatialtemporal, and OD data: A systematic survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113093openalex-snapshot
Graph Anomaly Detection via Diffusion Enhanced Multi-View Contrastive Learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113336openalex-snapshot
Cross-city transfer learning for traffic forecasting via incremental distribution rectification
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113435openalex-snapshot
Contrastive learning for anomaly detection in hierarchical subgraph
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113720openalex-snapshot
DFGCN: Decoupled dual-flow dynamic graph convolutional network for multivariate time series forecasting
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114620openalex-snapshot
KDP-MHL: Key data point-aware multi-scale hypergraph learning framework for multivariate time series classification
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115556openalex-snapshot
LightFreq: Adaptive frequency learning for efficient and multi-domain time series forecasting
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116730openalex-snapshot
SAMGNet: A synergistic adaptive multi-domain graph network with multi-level consistency contrastive learning for non-stationary multivariate time series
inferred← citeshttps://doi.org/10.1016/j.mlwa.2026.101015openalex-snapshot
An epidemiology-guided machine learning framework for real-time anomaly detection in disease outbreak monitoring using symptom surveillance data
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130720openalex-snapshot
DualNet: A dual-path network with adaptive compensation for multivariate time series forecasting
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132383openalex-snapshot
A review of deep learning based anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132512openalex-snapshot
Time-aware graph contrastive learning via dual-channel temporal encoders and hard task-driven adversarial learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132963openalex-snapshot
Assessment of spatio-temporal predictors in the presence of missing and heterogeneous data
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133003openalex-snapshot
A unified graph neural network-based approach for few-shot learning with task nodes and DiffPool abstraction
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133014openalex-snapshot
Dynamic hypergraph structure learning for spatio-temporal time series forecasting
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133173openalex-snapshot
RATE: A risk-aware adaptive long-term time series forecasting method
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133769openalex-snapshot
CSTGD-mamba: Continuous spatio-temporal graph disentanglement with selective state spaces model
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134171openalex-snapshot
MBNAD: A dual-role memory bridge network for multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134214openalex-snapshot
Cross-regional wind–solar power generation via dynamic multi-graph fusion and semi-supervised domain adaptation
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134476openalex-snapshot
Multivariate time series forecasting with a numerical spiking neural P system-inspired network
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135018openalex-snapshot
Divide and conquer: Adaptive normalization-enhanced Fourier graph learning for time series forecasting
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107485openalex-snapshot
SSSLN:Multivariate Time Series Forecasting via Collaborative Dynamic Graph Learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108269openalex-snapshot
A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification
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