YoZhibo / MSGNet
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
☆162Updated last year
Alternatives and similar repositories for MSGNet:
Users that are interested in MSGNet are comparing it to the libraries listed below
- ☆196Updated 7 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆109Updated 2 years ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆93Updated last year
- ☆105Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆171Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆88Updated 7 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆167Updated 4 months ago
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆173Updated 3 months ago
- Time series forecasting especially in LSTF compare,include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆113Updated 2 years ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆90Updated 4 months ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆126Updated 10 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆206Updated last year
- ☆43Updated last year
- ☆89Updated 3 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆95Updated last month
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆173Updated 6 months ago
- ☆82Updated last month
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆213Updated 2 years ago
- PyTorch implementation of AirFormer, AAAI-23☆131Updated 2 years ago
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆36Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆98Updated 2 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆87Updated last month
- Time Series Forecasting, Distribution Shift☆79Updated last year
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆34Updated last year
- ☆67Updated 10 months ago
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆79Updated last year
- ☆47Updated last month
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆49Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆82Updated 5 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆77Updated 10 months ago