matplotlib 3.7.1
networkx 2.8.4
numpy 1.23.5
pandas 1.5.3
pyg 2.1.0
pytorch 1.11.0
pytorch-cluster 1.6.0
pytorch-scatter 2.0.9
pytorch-sparse 0.6.15
scikit-learn 1.2.2
scipy 1.10.1
tqdm 4.65.0
python src/main.py --gnn rggc --k 8 --epochs 30000 --use-pe --pe-dim 16
python src/main.py --gnn rggc --k 8 --epochs 30000 --use-pe --pe-dim 16 --metric mcs
To reproduce our empirical results, run the run.sh
script.
bash run.sh
We thank SimGNN and Extended-SimGNN for providing the core frameworks utilized in this implementation.