XinleWu / AutoCTS
The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".
☆18Updated 3 years ago
Alternatives and similar repositories for AutoCTS:
Users that are interested in AutoCTS are comparing it to the libraries listed below
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆57Updated 8 months ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆26Updated 7 months ago
- ☆25Updated 2 years ago
- ☆39Updated 3 years ago
- ☆43Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆43Updated 5 months ago
- ☆66Updated 3 years ago
- ☆27Updated 8 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆20Updated 5 months ago
- ☆46Updated 2 years ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆77Updated 2 years ago
- PyTorch implementation of ESG☆77Updated 2 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆78Updated 2 years ago
- ☆17Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆83Updated 7 months ago
- ☆21Updated 9 months ago
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 3 years ago
- ☆46Updated last year
- ☆26Updated 4 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆40Updated 2 years ago
- ☆73Updated 6 months ago
- This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…☆15Updated last year
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆28Updated 7 months ago
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆34Updated last year
- ☆13Updated last year
- PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series…☆55Updated this week
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆81Updated 10 months ago
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Updated 2 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago