Graph-Machine-Learning-Group / grin
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
☆162Updated 2 years ago
Alternatives and similar repositories for grin:
Users that are interested in grin are comparing it to the libraries listed below
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆77Updated 2 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆197Updated 11 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆81Updated 7 months ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆172Updated 3 years ago
- tsl: a PyTorch library for processing spatiotemporal data.☆295Updated last month
- Spatial-Temporal Graph ODE Neural Network☆104Updated 3 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆177Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆151Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆110Updated last year
- Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete ti…☆257Updated this week
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆207Updated 5 months ago
- Transformer based model for time series prediction☆127Updated 2 years ago
- ☆97Updated last year
- ☆79Updated last year
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆347Updated last year
- a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 172 publi…☆20Updated last week
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆81Updated 10 months ago
- Multivariate Time Series Repository☆63Updated last year
- ☆115Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆199Updated 3 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆146Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆153Updated 2 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆140Updated 5 months ago
- PyTorch implementation of AirFormer, AAAI-23☆125Updated 2 years ago
- Adaptive Graph Convolutional Recurrent Network☆370Updated 11 months ago
- PyTorch implementation of ESG☆77Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆152Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆52Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆155Updated last month