https://github.com/dirmeier/dag-gnn

A variational autoencoder to learn the DAG of a structural equations model
https://github.com/dirmeier/dag-gnn

dag r sem

Last synced: about 1 month ago
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A variational autoencoder to learn the DAG of a structural equations model

• Host: GitHub
• URL: https://github.com/dirmeier/dag-gnn
• Owner: dirmeier
• License: other
• Created: 2020-05-15T23:57:55.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-06-25T22:08:41.000Z (over 4 years ago)
• Last Synced: 2024-11-16T13:41:59.671Z (3 months ago)
• Topics: dag, r, sem
• Language: R
• Homepage:
• Size: 140 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• jimsghstars - dirmeier/dag-gnn - A variational autoencoder to learn the DAG of a structural equations model (R)

README

        
# DAG-GNN

[![Project Status](http://www.repostatus.org/badges/latest/concept.svg)](http://www.repostatus.org/#concept)

[![Build Status](https://travis-ci.org/dirmeier/dag-gnn.svg?branch=master)](https://travis-ci.org/dirmeier/dag-gnn)

> A variational autoencoder to learn the DAG of a structural equations model

## About

DAG-GNN implements a variational autoencoder to learn the DAG of a 

structural equations model in Tensorflow (in R). The the method of the same name 

has been published by [Yu *et al.*](https://arxiv.org/abs/1904.10098) recently.

The basic idea of the method is as simple as beautiful. Cast the structure learning 

problem into a continuous optimization problem using a variational autoencoder

and enforce acyclicity with an equality constraint.

## Installation

 

You can install the packagefrom GitHub

```r

remotes::install_github("dirmeier/dag-gnn")

```

## Author

Simon Dirmeier simon.dirmeier @ web.de