aikunyi / FourierGNNLinks
Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
☆223Updated last year
Alternatives and similar repositories for FourierGNN
Users that are interested in FourierGNN are comparing it to the libraries listed below
Sorting:
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆181Updated last year
- ☆115Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆186Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆226Updated 2 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆85Updated 2 years ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆114Updated 4 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆96Updated 6 months ago
- Transformer based model for time series prediction☆130Updated 3 years ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆204Updated 2 months ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆72Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆94Updated 9 months ago
- PyTorch implementation of ESG☆87Updated 2 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆169Updated 3 years ago
- ☆99Updated 2 months ago
- ☆96Updated 8 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆123Updated last month
- ☆232Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆209Updated 11 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆92Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆88Updated last year
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆227Updated last month
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆48Updated 2 years ago
- PyTorch implementation of AirFormer, AAAI-23☆140Updated 2 years ago
- Multivariate Time Series Repository☆67Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆120Updated 2 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆190Updated last year
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆138Updated last year
- Multivariate Time-Series Anomaly Detection with GNN.☆69Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆108Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆87Updated 9 months ago