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| Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations | May 26, 2022 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 |
| Traffic state data imputation: An efficient generating method based on the graph aggregator | Aug 12, 2022 | Generative Adversarial NetworkImputation | CodeCode Available | 1 |
| DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data | Oct 30, 2024 | Decision MakingImputation | CodeCode Available | 1 |
| Traffic Data Imputation using Deep Convolutional Neural Networks | Jan 21, 2020 | DecoderImputation | 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 |
| Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation | Dec 20, 2018 | Gaussian ProcessesImputation | —Unverified | 0 |
| Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images | May 5, 2020 | Decision MakingGenerative Adversarial Network | —Unverified | 0 |
