sgc

Simple Graph Convolution (SGC)

• Paper link: Simplifying Graph Convolutional Networks
• Author's code repo: https://github.com/Tiiiger/SGC.

Dependencies

• PyTorch 0.4.1+
• requests

bash pip install torch requests

Codes

The folder contains an implementation of SGC (sgc.py). sgc_reddit.py contains an example of training SGC on the reddit dataset.

Results

Run with following (available dataset: "cora", "citeseer", "pubmed")

python3 sgc.py --dataset cora --gpu 0
python3 sgc.py --dataset citeseer --weight-decay 5e-5 --n-epochs 150 --bias --gpu 0
python3 sgc.py --dataset pubmed --weight-decay 5e-5 --bias --gpu 0

Run the following command to train on the reddit dataset.

python sgc_reddit.py --gpu 0

On NVIDIA V100

• cora: 0.819 (paper: 0.810), 0.0008s/epoch
• citeseer: 0.725 (paper: 0.719), 0.0008s/epoch
• pubmed: 0.788 (paper: 0.789), 0.0007s/epoch
• reddit: 0.947 (paper: 0.949), 0.6872s in total