134
GitHub - shagunsodhani/pregel: Tensorflow implementation of Graph Convolutional...
source link: https://github.com/shagunsodhani/pregel
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
pregel
Tensorflow implementation of Graph Convolutional Network
Setup
sudo pip3 install -r requirements.txt
python3 main.py -h
to view all the config parameters. Update the default parameters in themain.py
file.python3 main.py
to run the models.tensorboard --logdir=run1:<tensorboard-dir> -port 6006
to run tensorboard and go tohttp://localhost/6006
References
This work is an attempt to reproduce some of the works related to graph convolutional networks:
Semi-Supervised Classification with Graph Convolutional Networks
@article{kipf2016semi,
title={Semi-Supervised Classification with Graph Convolutional Networks},
author={Kipf, Thomas N and Welling, Max},
journal={arXiv preprint arXiv:1609.02907},
year={2016}
}
Variational Graph Auto-Encoders
@article{hamilton2017representation,
title={Representation Learning on Graphs: Methods and Applications},
author={Hamilton, William L and Ying, Rex and Leskovec, Jure},
journal={arXiv preprint arXiv:1709.05584},
year={2017}
}
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK