Sparse matrix-variate Gaussian process blockmodels for network modeling

  title={Sparse matrix-variate Gaussian process blockmodels for network modeling},
  author={Feng Yan and Zenglin Xu and Yuan Qi},
We face network data from various sources, such as protein interactions and online social networks. A critical problem is to model network interactions and identify latent groups of network nodes. This problem is challenging due to many reasons. For example, the network nodes are interdependent instead of independent of each other, and the data are known to be very noisy (e.g., missing edges). To address these challenges, we propose a new relational model for network data, Sparse Matrix-variate… CONTINUE READING
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