gabrielspadon / ReGENN

Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)

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:

conda env create -f py37.yaml

Instructions

For detailed information, please run:

python main.py --help

Citation

Please cite the following paper:

@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"
}