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๐Ÿ“ˆ Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2

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GGP-TF2

This repository contains the implementation of the the Graph Gaussian Process model introduced in 'Bayesian semi-supervised learning with graph Gaussian processes'.

@inproceedings{ng2018gaussian,
  title={Bayesian semi-supervised learning with graph Gaussian processes},
  author={Ng, Yin Cheng and Colombo, Nicolo and Silva, Ricardo},
  booktitle={Advances in Neural Information Processing Systems},
  year={2018}
}

It is an updated version of the semi-supervised classification model of the original implementation accompanying the paper: yincheng/GGP. It was updated to use GPflow 2 and TensorFlow 2.2.

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๐Ÿ“ˆ Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2

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