| Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks | Nov 13, 2024 | Anomaly DetectionDemand Forecasting | CodeCode Available | 2 |
| Scalable Spatiotemporal Prediction with Bayesian Neural Fields | Mar 12, 2024 | Bayesian InferenceDemand Forecasting | CodeCode Available | 2 |
| FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail | May 22, 2025 | Demand ForecastingImputation | CodeCode Available | 1 |
| Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking | Jun 17, 2024 | BenchmarkingDemand Forecasting | CodeCode Available | 1 |
| Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction | Jun 30, 2022 | Demand ForecastingGraph Representation Learning | CodeCode Available | 1 |
| A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards | Jun 18, 2022 | Computational EfficiencyDemand Forecasting | CodeCode Available | 1 |
| Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand | Jun 21, 2021 | Demand ForecastingSpatio-Temporal Forecasting | CodeCode Available | 1 |
| Graph Neural Network for Traffic Forecasting: A Survey | Jan 27, 2021 | Demand ForecastingGraph Attention | CodeCode Available | 1 |
| Additive stacking for disaggregate electricity demand forecasting | May 20, 2020 | Demand ForecastingManagement | CodeCode Available | 1 |
| Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand Forecasting | Jan 20, 2019 | Demand ForecastingSpatio-Temporal Forecasting | CodeCode Available | 1 |
