# Graph Convolution Network for TF2

GCN implementation for paper: [Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/pdf/1609.02907.pdf)

# Benchmark

| dataset       | Citeseea | Cora | Pubmed | NELL |
|---------------|----------|------|--------|------|
| GCN(official) | 70.3     | 81.5 | 79.0   | 66.0 |
| This repo.    |          | 81.8 |   78.9  |      |

# HOWTO
```
python train.py
```

# Screenshot

![](res/screen.png)
