| Laplacian Convolutional Representation for Traffic Time Series Imputation | Dec 3, 2022 | Decision MakingImage Inpainting | CodeCode Available | 0 |
| Traffic state data imputation: An efficient generating method based on the graph aggregator | Aug 12, 2022 | Generative Adversarial NetworkImputation | CodeCode Available | 1 |
| Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations | May 26, 2022 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 |
| Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns | May 19, 2022 | Cloud ComputingImputation | CodeCode Available | 1 |
| Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns | Sep 17, 2021 | Deep LearningImputation | —Unverified | 0 |
| Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | Jul 31, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| 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 |
| A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation | Mar 23, 2020 | ImputationTraffic Data Imputation | CodeCode Available | 0 |
