DAMO-DI-ML / KDD2022-QuatformerView external linksLinks
Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting
☆31May 12, 2023Updated 2 years ago
Alternatives and similar repositories for KDD2022-Quatformer
Users that are interested in KDD2022-Quatformer are comparing it to the libraries listed below
Sorting:
- Foundation Model for Probabilistic Electricity Price Forecasting☆17Sep 29, 2025Updated 4 months ago
- [ICLR 2024] Official code of RobustTSF☆21Feb 21, 2024Updated last year
- Unofficial implementation of "Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns"☆46Apr 26, 2021Updated 4 years ago
- Welcome to the SOLETE platform. These scripts are meant to help you using the homonymous dataset [1] and to replicate the results from th…☆11Sep 14, 2023Updated 2 years ago
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆10Jun 10, 2022Updated 3 years ago
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 2024Updated last year
- My invited Keynote/Talk at Conferences, Universities, Companies, etc.☆14Dec 18, 2024Updated last year
- QUATERNION ORTHOGONAL TRANSFORMER FOR FACIAL EXPRESSION RECOGNITION IN THE WILD☆16Apr 14, 2023Updated 2 years ago
- Telescope is a hybrid multi-step-ahead forecasting approach based on time series decomposition.☆11Oct 18, 2021Updated 4 years ago
- ☆13Nov 13, 2024Updated last year
- Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early☆19Oct 3, 2024Updated last year
- Quaternion Convolutional Neural Networks: A novel approach that extends traditional convolutional neural networks by introducing quaterni…☆18May 3, 2024Updated last year
- This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficientl…☆17Aug 1, 2024Updated last year
- ☆14Feb 18, 2022Updated 3 years ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆17Nov 5, 2025Updated 3 months ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆33Dec 15, 2021Updated 4 years ago
- KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective☆104Mar 9, 2024Updated last year
- Repository for ACL 2019 paper☆74Jun 30, 2019Updated 6 years ago
- Quaternion Product Units for Deep Learning on 3D Rotation Groups☆19May 19, 2020Updated 5 years ago
- ☆137Feb 7, 2023Updated 3 years ago
- ☆24Aug 19, 2024Updated last year
- Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis☆56Nov 30, 2022Updated 3 years ago
- OTGNN code☆56Jun 5, 2020Updated 5 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆24Nov 21, 2022Updated 3 years ago
- Source code for the COLING 2022 paper "KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings".☆24Oct 29, 2022Updated 3 years ago
- A pytorch re-implementation of STFGNN☆30Mar 8, 2023Updated 2 years ago
- ☆54Jun 13, 2023Updated 2 years ago
- ☆25Aug 2, 2022Updated 3 years ago
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆47Jul 31, 2025Updated 6 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆127Mar 23, 2024Updated last year
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Feb 23, 2024Updated last year
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆30Oct 30, 2019Updated 6 years ago
- ☆25Jun 23, 2020Updated 5 years ago
- [AAAI26] Improving Time Series Forecasting by Progressively Learning Residuals☆69Jan 22, 2025Updated last year
- This is official Pytorch implementation of SPGFusion☆17Sep 2, 2025Updated 5 months ago
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆35Jan 19, 2026Updated 3 weeks ago
- Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).☆31Mar 30, 2022Updated 3 years ago
- The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"☆44Mar 17, 2025Updated 10 months ago
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆35Sep 7, 2025Updated 5 months ago