| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Nov 10, 2023 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 | 5 |
| Fredformer: Frequency Debiased Transformer for Time Series Forecasting | Jun 13, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection | Jul 7, 2023 | Anomaly DetectionImputation | CodeCode Available | 2 | 5 |
| A Survey of Financial AI: Architectures, Advances and Open Challenges | Nov 1, 2024 | Decision MakingPortfolio Optimization | CodeCode Available | 2 | 5 |
| Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Sep 30, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 | 5 |
| Liquid Time-constant Networks | Jun 8, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies | Oct 16, 2023 | Few-Shot LearningTime Series | CodeCode Available | 2 | 5 |
| Financial Fine-tuning a Large Time Series Model | Dec 13, 2024 | Image GenerationPrediction | CodeCode Available | 2 | 5 |
| AR-Net: A simple Auto-Regressive Neural Network for time-series | Nov 27, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
