zhangzw16 / SageFormerView external linksLinks
Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
☆84Mar 29, 2024Updated last year
Alternatives and similar repositories for SageFormer
Users that are interested in SageFormer are comparing it to the libraries listed below
Sorting:
- The code for TFPS☆63Nov 8, 2024Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆206Feb 11, 2024Updated 2 years ago
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆31Sep 2, 2025Updated 5 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Oct 28, 2024Updated last year
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆47Jul 31, 2025Updated 6 months ago
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆142May 29, 2024Updated last year
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆32Jun 14, 2024Updated last year
- ☆110Jun 11, 2025Updated 8 months ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆74Sep 4, 2024Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆14Apr 27, 2024Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆40Jan 8, 2025Updated last year
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Feb 16, 2023Updated 3 years ago
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Mar 6, 2024Updated last year
- ☆24Aug 19, 2024Updated last year
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆256Jul 22, 2025Updated 6 months ago
- ☆40Feb 4, 2026Updated last week
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Jul 15, 2025Updated 7 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆100Nov 15, 2025Updated 3 months ago
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆135Dec 17, 2025Updated last month
- 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
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆45Jan 6, 2025Updated last year
- ☆17Jan 13, 2026Updated last month
- Official implementation for "CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting" (I…☆26May 6, 2025Updated 9 months ago
- Official Implementation for [IEEE Transactions on Vehicular Technology] "TTSNet: Temporal transformer-based sequence network for state-of…☆30Apr 18, 2024Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆93Dec 29, 2024Updated last year
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆45Feb 17, 2023Updated 2 years ago
- Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting☆39Jun 13, 2024Updated last year
- Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".☆16Apr 18, 2024Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆127Mar 23, 2024Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆249Dec 24, 2025Updated last month
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆241Feb 22, 2024Updated last year
- ☆46Jun 10, 2024Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆15Mar 28, 2024Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆25Nov 25, 2024Updated last year
- The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"☆45Mar 17, 2025Updated 10 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆105Nov 10, 2024Updated last year