This is a pytorch and pytorch-geometric based implementation of E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification.
The required packages can be installed by running pip install -r requirements.txt.
The datasets used in our paper can be automatically downlowad.
Train on the public benchmark datasets:
python e2gnn_main.py --dataset "Cora"