| Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting | May 30, 2023 | Spatio-Temporal ForecastingTime Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand | Jun 21, 2021 | Demand ForecastingSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
| Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting | Oct 16, 2024 | Graph Neural NetworkSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
| Enhanced spatio-temporal electric load forecasts using less data with active deep learning | Dec 8, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities | Feb 8, 2022 | Domain AdaptationGraph Mining | CodeCode Available | 1 | 5 |
| Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks | Mar 16, 2022 | Graph Neural NetworkInterpretability Techniques for Deep Learning | CodeCode Available | 1 | 5 |
| Graph Neural Networks for Improved El Niño Forecasting | Dec 2, 2020 | Deep LearningMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction | Mar 31, 2020 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 1 | 5 |
| CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events | Dec 3, 2024 | ArticlesCausal Inference | CodeCode Available | 1 | 5 |
| RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting | Jun 10, 2021 | Bayesian InferenceSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
