| SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data | Oct 22, 2022 | ImputationMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting | Oct 12, 2022 | Graph GenerationGraph structure learning | CodeCode Available | 1 |
| Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting | Oct 6, 2022 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 |
| MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting | Oct 4, 2022 | Multivariate Time Series ForecastingSelf-Supervised Learning | —Unverified | 0 |
| Masked Multi-Step Multivariate Time Series Forecasting with Future Information | Sep 28, 2022 | Demand ForecastingMultivariate Time Series Forecasting | —Unverified | 0 |
| Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting | Sep 1, 2022 | DecoderMultivariate Time Series Forecasting | —Unverified | 0 |
| Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures | Aug 29, 2022 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 1 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer | Aug 19, 2022 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting | Aug 10, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
