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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Association for the Advancement of Artificial Intelligence (AAAI)
2021
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| Online Access: | https://hdl.handle.net/1721.1/130525 |