# gae-pytorch

**Repository Path**: cgsdfc/gae-pytorch

## Basic Information

- **Project Name**: gae-pytorch
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2022-03-19
- **Last Updated**: 2023-03-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: GAE

## README

# gae-pytorch
Graph Auto-Encoder in PyTorch

This is a PyTorch implementation of the Variational Graph Auto-Encoder model described in the paper:
 
T. N. Kipf, M. Welling, [Variational Graph Auto-Encoders](https://arxiv.org/abs/1611.07308), NIPS Workshop on Bayesian Deep Learning (2016)

The code in this repo is based on or refers to https://github.com/tkipf/gae, https://github.com/tkipf/pygcn and https://github.com/vmasrani/gae_in_pytorch.

### Requirements
- Python 3
- PyTorch 0.4
- install requirements via ```
pip install -r requirements.txt``` 

### How to run
```bash
python gae/train.py
```