Showing 1–20 of 20 results
/ Date/ Name
Jun 18, 2022Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series ForecastingAug 10, 2022Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series ForecastingJun 18, 2022Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic ForecastingMay 23, 2025BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting ModelsAug 31, 2021Heterogeneous Graph Neural Network with Multi-view Representation LearningOct 9, 2023Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisJul 27, 2023HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic ForecastingMar 25, 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A SurveyDec 19, 2023Dynamic Frequency Domain Graph Convolutional Network for Traffic ForecastingJan 29, 2026From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and ReasoningMay 18, 2024GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable MissingOct 29, 2025Selective Learning for Deep Time Series ForecastingAug 7, 2023DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term PredictionJun 14, 2025Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing RatesAug 22, 2025STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging ApproachSep 7, 2025ARIES: Relation Assessment and Model Recommendation for Deep Time Series ForecastingDec 13, 2024Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management PerspectiveJan 29, 2026DropoutTS: Sample-Adaptive Dropout for Robust Time Series ForecastingAug 19, 2024On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series ForecastingNov 17, 2025APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift