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Found 2 papers, 1 papers with code
On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates
In network inference applications, it is often desirable to detect community structure, namely to cluster vertices into groups, or blocks, according to some measure of similarity.
Spectral inference for large Stochastic Blockmodels with nodal covariates
In many applications of network analysis, it is important to distinguish between observed and unobserved factors affecting network structure.
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