This repository contains the code from the paper :
S. Pal, F. Regol, and M.J. Coates, “Bayesian graph convolutional neural networks using node copying,” in Proc. Workshop on Learning and Reasoning with Graph-Structured Data at Int. Conf. Machine Learning, June 2019.
The included datasets are : Cora, Citeseer and Pubmed.
python 3
tensorflow
networkx
numpy
scipy
scikit_learn
You can install the required packages using the provided requirement file
pip install -f requirements.txt
To run the program with default parameters:
python3 Run_trials.py
florence.robert-regol@mail.mcgill.ca
@inproceedings{pal2019,
title={Bayesian graph convolutional neural networks using node copying},
author={S. Pal, F. Regol, and M.J. Coates},
booktitle={Proc. Workshop on Learning and Reasoning with Graph-Structured Data at Int. Conf. Machine Learning},
year={2019}
}