Maximum Likelihood Embedding of Logistic Random Dot Product Graphs

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. A latent space model of particular i...

Full description

Bibliographic Details
Main Authors: M´edard, Muriel (Author), Feizi, Soheil (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence (AAAI), 2021-04-27T15:23:52Z.
Subjects:
Online Access:Get fulltext