xun468 / Time-GNN
Time-series forecasting with GNNs
☆32Updated last year
Alternatives and similar repositories for Time-GNN:
Users that are interested in Time-GNN are comparing it to the libraries listed below
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 2 years ago
- Time series forecasting especially in LSTF compare,include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆110Updated 2 years ago
- Multivariate Time Series Repository☆63Updated last year
- Transformer based model for time series prediction☆128Updated 2 years ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆27Updated 3 months ago
- ☆73Updated 6 months ago
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆43Updated 2 years ago
- ☆96Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆90Updated 3 months ago
- ☆52Updated last year
- ☆42Updated 7 months ago
- ☆89Updated 2 months ago
- ☆18Updated 7 months ago
- Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".☆55Updated 10 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆153Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆125Updated 2 years ago
- Spatiotemporal graph convolutional network for wind speed prediction.☆36Updated 3 years ago
- Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0☆73Updated 8 months ago
- ☆29Updated 2 years ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆86Updated 5 months ago
- ☆23Updated 2 months ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆25Updated 8 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆79Updated 3 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆42Updated last year
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆46Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆153Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆83Updated 7 months ago
- ☆10Updated last month
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆33Updated last year
- Mamba for Multivariate Time Series Forecasting☆37Updated 5 months ago