Graph Convolutional Matrix Completion

@article{Berg2017GraphCM,
  title={Graph Convolutional Matrix Completion},
  author={Rianne van den Berg and Thomas N. Kipf and Max Welling},
  journal={CoRR},
  year={2017},
  volume={abs/1706.02263}
}
We consider matrix completion for recommender systems from the point of view of link prediction on graphs. Interaction data such as movie ratings can be represented by a bipartite user-item graph with labeled edges denoting observed ratings. This representation is especially useful in the setting where additional graph-based side information is present. Building on recent progress in deep learning on graph-structured data, we propose a graph auto-encoder framework based on differentiable… CONTINUE READING
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Kipf and Max Welling . Variational graph auto - encoders

  • N. Thomas
  • NIPS Bayesian Deep Learning Workshop
  • 2016

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