sgc

Simple Graph Convolution (SGC)

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

Dependencies

• MXNET 1.5+
• requests

bash pip install torch requests

Codes

The folder contains an implementation of SGC (sgc.py).

Results

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

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

On NVIDIA V100

• cora: 0.818 (paper: 0.810)
• citeseer: 0.725 (paper: 0.719)
• pubmed: 0.788 (paper: 0.789)