zhangzw16 / SageFormerLinks
Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
☆81Updated last year
Alternatives and similar repositories for SageFormer
Users that are interested in SageFormer are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆98Updated 8 months ago
- ☆63Updated 2 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆86Updated 9 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆45Updated 2 years ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆95Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆77Updated 5 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆48Updated 2 years ago
- ☆104Updated 5 months ago
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆106Updated last year
- ☆76Updated 9 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆102Updated last year
- ☆106Updated 11 months ago
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆38Updated 2 years ago
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆73Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆123Updated 4 months ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆32Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆118Updated last year
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆30Updated last year
- PyTorch implementation of ESG☆92Updated 2 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆200Updated last year
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆51Updated last year
- [KDD 2025] Awesome Multi-modal Time Series Analysis☆103Updated last month
- ☆124Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆127Updated 2 years ago
- ☆80Updated last year
- ☆23Updated 11 months ago
- This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…☆19Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆87Updated last year
- This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…☆36Updated last year
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆35Updated 2 years ago