| Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting | May 19, 2020 | Spatio-Temporal Forecasting | —Unverified | 0 |
| CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction | Sep 25, 2019 | DecoderGraph Attention | —Unverified | 0 |
| Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting | Jun 28, 2018 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| Deep learning for spatio-temporal forecasting -- application to solar energy | May 7, 2022 | Deep LearningSpatio-Temporal Forecasting | —Unverified | 0 |
| Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting | Nov 24, 2024 | Continual LearningScheduling | —Unverified | 0 |
| DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting | Apr 2, 2025 | RelationSpatio-Temporal Forecasting | —Unverified | 0 |
| DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting | Mar 5, 2024 | Spatio-Temporal Forecasting | —Unverified | 0 |
| Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming | Aug 24, 2024 | energy managementLanguage Modeling | —Unverified | 0 |
| Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction | Jun 6, 2024 | Inductive LearningPrediction | —Unverified | 0 |
| Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting | Oct 27, 2020 | ClusteringDeep Learning | —Unverified | 0 |