Installation

python setup.py install

Requirements

• Python 3.7
• TensorFlow (2.0)
• pandas

Usage

To reproduce the experiments mentioned in the paper you can run the following commands:

Douban

python train.py -d douban --accum stack -do 0.7 -nleft -nb 2 -e 200 --features --feat_hidden 64 --testing 

Flixster

python train.py -d flixster --accum stack -do 0.7 -nleft -nb 2 -e 200 --features --feat_hidden 64 --testing

Yahoo Music

python train.py -d yahoo_music --accum stack -do 0.7 -nleft -nb 2 -e 200 --features --feat_hidden 64 --testing

##Description

graph autoencoders on Ml-100k folder based on ML-100k dataset,you run the train.py file directly.graph autoencoder on three datesets folder based on Douban,Flixster,and Yahoo Music datasets,you run above mentioned commands.All datasets are already in the corresponding folder.