# GCN-PyTorch

**Repository Path**: sheldonzhou/GCN-PyTorch

## Basic Information

- **Project Name**: GCN-PyTorch
- **Description**: Graph Convolution Network for PyTorch
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-01
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Graph Convolution Network for PyTorch

Pytorch 1.0 with python 3.7.

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.    |          | 81.7 |   78.7  |      |

Hints:
To achieve 81.7% on `Cora` dataset, pytorch need 400 epochs.
and it train relatively slower on `Pubmed` dataset.


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

# Screenshot

![](res/screen.png)