{"total":17,"rows":[{"id":"2307.03759","title":"A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection","created":"2023-07-07","cited_by_count":145,"area":null},{"id":"2310.15978","title":"Graph Deep Learning for Time Series Forecasting","created":"2023-10-24","cited_by_count":26,"area":null},{"id":"2402.10634","title":"Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling","created":"2024-02-16","cited_by_count":17,"area":null},{"id":"2505.17431","title":"HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting","created":"2025-05-23","cited_by_count":15,"area":null},{"id":"2409.05100","title":"MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks","created":"2024-09-08","cited_by_count":5,"area":null},{"id":"2410.13469","title":"Interpreting Temporal Graph Neural Networks with Koopman Theory","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2501.09821","title":"BN-Pool: Bayesian Nonparametric Pooling for Graphs","created":"2025-01-16","cited_by_count":2,"area":null},{"id":"2509.02217","title":"ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting","created":"2025-09-02","cited_by_count":2,"area":null},{"id":"2602.09317","title":"SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints","created":"2026-02-10","cited_by_count":2,"area":null},{"id":"2502.15466","title":"Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2510.22094","title":"Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training","created":"2025-10-25","cited_by_count":1,"area":null},{"id":"2502.12175","title":"Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?","created":"2025-02-14","cited_by_count":0,"area":null},{"id":"2504.00349","title":"Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2507.22500","title":"Nonlinear reconciliation: Error reduction theorems","created":"2025-07-30","cited_by_count":0,"area":null},{"id":"2510.00014","title":"FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization","created":"2025-09-17","cited_by_count":0,"area":null},{"id":"2605.08005","title":"STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2610.18196","title":"Hierarchical Time Series Forecasting with Operator-Valued Kernels","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}