| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 | 5 |
| Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns | May 19, 2022 | Cloud ComputingImputation | CodeCode Available | 1 | 5 |
| DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data | Oct 30, 2024 | Decision MakingImputation | CodeCode Available | 1 | 5 |
| Traffic Data Imputation using Deep Convolutional Neural Networks | Jan 21, 2020 | DecoderImputation | CodeCode Available | 1 | 5 |
| Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | Jul 31, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 | 5 |
| Traffic state data imputation: An efficient generating method based on the graph aggregator | Aug 12, 2022 | Generative Adversarial NetworkImputation | CodeCode Available | 1 | 5 |
| Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations | May 26, 2022 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 | 5 |
| Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation | Apr 30, 2021 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data | Dec 6, 2024 | BenchmarkingImputation | CodeCode Available | 0 | 5 |
| A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation | Mar 23, 2020 | ImputationTraffic Data Imputation | CodeCode Available | 0 | 5 |
| BRITS: Bidirectional Recurrent Imputation for Time Series | May 27, 2018 | General ClassificationImputation | CodeCode Available | 0 | 5 |
| Laplacian Convolutional Representation for Traffic Time Series Imputation | Dec 3, 2022 | Decision MakingImage Inpainting | CodeCode Available | 0 | 5 |
| Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding | Jan 27, 2023 | ImputationTraffic Data Imputation | CodeCode Available | 0 | 5 |
| Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation | Aug 7, 2020 | ImputationTraffic Data Imputation | CodeCode Available | 0 | 5 |
| STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation | Jun 9, 2025 | Graph AttentionImputation | CodeCode Available | 0 | 5 |
| Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation | May 11, 2023 | ImputationTensor Decomposition | —Unverified | 0 | 0 |
| A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies | Apr 18, 2023 | ImputationTime Series | —Unverified | 0 | 0 |
| Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns | Sep 17, 2021 | Deep LearningImputation | —Unverified | 0 | 0 |
| Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images | May 5, 2020 | Decision MakingGenerative Adversarial Network | —Unverified | 0 | 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 | 0 |
| FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation | Oct 20, 2024 | DenoisingImputation | —Unverified | 0 | 0 |
| MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm | Mar 29, 2025 | ImputationMissing Values | —Unverified | 0 | 0 |
| Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation | Dec 20, 2018 | Gaussian ProcessesImputation | —Unverified | 0 | 0 |
