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Masked Graph Augmentation for Graph Contrastive Learning

This repository studies the effectiveness of graph augmentation for graph representation learning. We have a load of observations. This paper is Under Review.

Dependencies

pip install -r requirements.txt

Usage

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].

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