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Graph Convolutional Matrix Completion

Implementation of Graph Convolutional Matrix Completion

Rianne van den Berg, Thomas N. Kipf, Max Welling, Graph Convolutional Matrix Completion (2017)

Installation

python setup.py install

Requirements

  • Python 2.7
  • TensorFlow (1.4)
  • pandas

Usage

To reproduce the experiments mentioned in the paper you can run the following commands:

Movielens 100K on official split with features

python train.py -d ml_100k --accum stack -do 0.7 -nleft -nb 2 -e 1000 --features --feat_hidden 10 --testing

Movielens 100K on official split without features

python train.py -d ml_100k --accum stack -do 0.7 -nleft -nb 2 -e 1000 --testing

Cite

Please cite our paper if you use this code in your own work:

@article{vdberg2017graph,
  title={Graph Convolutional Matrix Completion},
  author={van den Berg, Rianne and Kipf, Thomas N and Welling, Max},
  journal={arXiv preprint arXiv:1706.02263},
  year={2017}
}

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  • Python 96.8%
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