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...
Main Authors: | M´edard, Muriel (Author), Feizi, Soheil (Author) |
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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 |
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