This repository studies the effectiveness of graph augmentation for graph representation learning. We have a load of observations. This paper is Under Review.
pip install -r requirements.txt
You can use the following command, and the parameters are given
For graph classification task:
python main.py --dataset COLLAB
The --dataset
argument should be one of [NCI1, NCI109, PROTEIN, DD, MUTAG, IMDB-B, IMDB-M, COLLAB, RDT-B].