Abstract. In this paper we consider three models for random graphs that utilize the inner product as their fundamental object. We analyze the behavior of ...
In this survey paper, we describe a comprehensive paradigm for statistical inference on random dot product graphs, a paradigm centered on spectral em- beddings ...
Jan 26, 2022 · Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. Authors:Bernardo Marenco, Paola Bermolen, Marcelo Fiori, ...
In this paper we consider three models for random graphs that utilize the inner product as their fundamental object. We analyze the behavior of these models ...
Jul 25, 2023 · The Random Dot Product Graph (RDPG) is a generative model for relational data, where nodes are represented via latent vectors in low-dimensional ...
By Edward Scheinerman, Stephen J. Young. In this paper we consider three models for random graphs that utilize the inner product as their fundamental object ...
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Abstract—Given a sequence of possibly correlated randomly generated graphs, we address the problem of detecting changes on their underlying distribution.
This paper proposes a generalisation of the latent position network model known as the random dot product graph, to allow interpretation of those vector ...
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