Network Estimation via Graphon With Node Features

@article{Su2020NetworkEV,
  title={Network Estimation via Graphon With Node Features},
  author={Yi Su and Raymond K. W. Wong and T. C. Lee},
  journal={IEEE Transactions on Network Science and Engineering},
  year={2020},
  volume={7},
  pages={2078-2089}
}
  • Yi Su, Raymond K. W. Wong, T. C. Lee
  • Published 2020
  • Computer Science, Mathematics
  • IEEE Transactions on Network Science and Engineering
  • One popular model for network analysis is the exchangeable graph model (ExGM), which is characterized by a two-dimensional function known as a graphon. Estimating an underlying graphon becomes the key of such analysis. Several nonparametric estimation methods have been proposed, and some are provably consistent. However, if certain useful features of the nodes (e.g., age and schools in a social network context) are available, none of these methods were designed to incorporate this source of… CONTINUE READING

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