most citedMaximum Likelihood Latent Space Embedding of Logistic Random Dot Product Graphs

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2015★ 3 cited

Maximum Likelihood Latent Space Embedding of Logistic Random Dot Product Graphs

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 m…