| FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation | Oct 20, 2024 | DenoisingImputation | —Unverified | 0 |
| 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 |
| Laplacian Convolutional Representation for Traffic Time Series Imputation | Dec 3, 2022 | Decision MakingImage Inpainting | CodeCode Available | 0 |
| Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns | Sep 17, 2021 | Deep LearningImputation | —Unverified | 0 |
| Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation | Apr 30, 2021 | ImputationMissing Values | CodeCode Available | 0 |
| Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation | Aug 7, 2020 | ImputationTraffic Data Imputation | CodeCode Available | 0 |
| Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images | May 5, 2020 | Decision MakingGenerative Adversarial Network | —Unverified | 0 |
