| STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation | Jun 9, 2025 | Graph AttentionImputation | CodeCode Available | 0 |
| MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm | Mar 29, 2025 | ImputationMissing Values | —Unverified | 0 |
| An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data | Dec 6, 2024 | BenchmarkingImputation | CodeCode Available | 0 |
| DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data | Oct 30, 2024 | Decision MakingImputation | CodeCode Available | 1 |
| FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation | Oct 20, 2024 | DenoisingImputation | —Unverified | 0 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation | May 11, 2023 | ImputationTensor Decomposition | —Unverified | 0 |
| ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks | May 10, 2023 | Deep LearningGraph Attention | —Unverified | 0 |
| A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies | Apr 18, 2023 | ImputationTime Series | —Unverified | 0 |
| Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding | Jan 27, 2023 | ImputationTraffic Data Imputation | CodeCode Available | 0 |
