| A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting | May 24, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting | May 22, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Forecasting Irregularly Sampled Time Series using Graphs | May 22, 2023 | AstronomyMissing Values | CodeCode Available | 1 |
| The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting | Apr 11, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| LightCTS: A Lightweight Framework for Correlated Time Series Forecasting | Feb 23, 2023 | Computational EfficiencyCorrelated Time Series Forecasting | CodeCode Available | 1 |
| StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series | Jan 23, 2023 | Emotion ClassificationMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Ti-MAE: Self-Supervised Masked Time Series Autoencoders | Jan 21, 2023 | Contrastive LearningMultivariate Time Series Forecasting | CodeCode Available | 1 |
| MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling | Dec 12, 2022 | DecoderGraph Learning | CodeCode Available | 1 |
| Spatio-Temporal Meta-Graph Learning for Traffic Forecasting | Nov 27, 2022 | DecoderGraph Learning | CodeCode Available | 1 |
| SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data | Oct 22, 2022 | ImputationMultivariate Time Series Forecasting | CodeCode Available | 1 |
