https://github.com/shagunsodhani/pregel

Tensorflow implementation of Graph Convolutional Network
https://github.com/shagunsodhani/pregel

graph-convolutional-network tensorflow

Last synced: 3 months ago
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Tensorflow implementation of Graph Convolutional Network

• Host: GitHub
• URL: https://github.com/shagunsodhani/pregel
• Owner: shagunsodhani
• License: mit
• Created: 2017-11-08T20:58:16.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-10-26T01:44:48.000Z (about 4 years ago)
• Last Synced: 2024-07-04T02:18:39.927Z (4 months ago)
• Topics: graph-convolutional-network, tensorflow
• Language: Python
• Size: 5.19 MB
• Stars: 77
• Watchers: 6
• Forks: 10
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# pregel

Tensorflow implementation of Graph Convolutional Network

## Setup

* `sudo pip3 install -r requirements.txt`

## Run

* `python3 main.py -h` to view all the config parameters. Update the default parameters in the `main.py` file.

* `python3 main.py` to run the models.

* `tensorboard --logdir=run1: -port 6006` to run tensorboard and go to `http://localhost/6006`

## References

This work is an attempt to reproduce some of the works related to graph convolutional networks: 

#### [Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/abs/1609.02907)

```

@article{kipf2016semi,

  title={Semi-Supervised Classification with Graph Convolutional Networks},

  author={Kipf, Thomas N and Welling, Max},

  journal={arXiv preprint arXiv:1609.02907},

  year={2016}

}

```

* [Author's implementation in Tensorflow](https://github.com/tkipf/gcn)

* [Author's implementation in Keras](https://github.com/tkipf/keras-gcn)

* [Author's implementation in PyTorch](https://github.com/tkipf/pygcn)

#### [Variational Graph Auto-Encoders](https://arxiv.org/abs/1611.07308)

```

@article{hamilton2017representation,

  title={Representation Learning on Graphs: Methods and Applications},

  author={Hamilton, William L and Ying, Rex and Leskovec, Jure},

  journal={arXiv preprint arXiv:1709.05584},

  year={2017}

}

```

* [Author's implementation in Tensorflow](https://github.com/tkipf/gae)