| Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach | Apr 4, 2024 | Contrastive LearningFederated Learning | —Unverified | 0 |
| DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting | Mar 5, 2024 | Spatio-Temporal Forecasting | —Unverified | 0 |
| Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review | Feb 15, 2024 | Anomaly ClassificationAnomaly Detection | —Unverified | 0 |
| Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks | Jan 29, 2024 | Spatio-Temporal ForecastingTime Series Prediction | CodeCode Available | 0 |
| Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting | Dec 27, 2023 | Contrastive LearningCorrelated Time Series Forecasting | —Unverified | 0 |
| Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach | Dec 6, 2023 | AttributeComputational Efficiency | CodeCode Available | 1 |
| SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting | Dec 5, 2023 | Graph LearningGraph structure learning | —Unverified | 0 |
| Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset | Jun 24, 2023 | Spatio-Temporal Forecasting | CodeCode Available | 0 |
| FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks | Jun 14, 2023 | Spatio-Temporal Forecasting | CodeCode Available | 1 |
| Operator Learning with Neural Fields: Tackling PDEs on General Geometries | Jun 12, 2023 | Operator learningSpatio-Temporal Forecasting | CodeCode Available | 1 |
