Skip to content

stefanosantaris/DynVGAE

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DynVGAE

This is a Tensorflow implementation of the DynVGAE model as described in the paper:

Sedigheh Mahdavi, Shima Khoshraftar, and Aijun An. 2019. Dynamic Joint Variational Graph Autoencoders. ECML-PKDD (2019).

Installation

pip install -r requirements.txt

Requirements

  1. Python 3
  2. NetworkX
  3. scipy
  4. Tensorflow 2.0

Run the demo

python main.py

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages