Maximum Likelihood Latent Space Embedding of Logistic Random Dot Product Graphs

3 Oct 2015 Luke O'Connor Muriel Médard Soheil Feizi

A latent space model for a family of random graphs assigns real-valued vectors to nodes of the graph such that edge probabilities are determined by latent positions. Latent space models provide a natural statistical framework for graph visualizing and clustering... (read more)

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