# ReGENN

**Repository Path**: du_changping/ReGENN

## Basic Information

- **Project Name**: ReGENN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-02
- **Last Updated**: 2021-03-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Recurrent Graph Evolution Neural Network (ReGENN) for Multiple Multivariate Time-Series Forecasting (MMTS) using Graph Soft Evolution (GSE)

This repository provides the code for the paper *Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning*, currently under review.

### Requirements

Please clone **@gabrielspadon**'s Virtual Environment by running the following command:

```bash
conda env create -f py37.yaml
```

### Instructions

For detailed information, please run:

```bash
python main.py --help
```

### Citation

Please cite the following paper:

```bibtex
@Article{Spadon2020:Evolution,
         author = "Gabriel Spadon and Shenda Hong and Bruno Brandoli and Stan Matwin and Jose F. Rodrigues-Jr and Jimeng Sun",
          title = "Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning",
           year = "2020",
         eprint = "2008.12833",
   primaryClass = "cs.LG",
  archivePrefix = "arXiv"
}
```