Partition the vertices of a directed network with typed edges into clusters describing the connection patterns of subgraphs given as inputs. The inference is performed using a variational Bayes EM algorithm and the estimation of the number of clusters is obtained through a variational approximation of the marginal log likelihood.
The Regions data is a simulated network generated according to the Random Subgraph Model. The network is directed with 30 nodes; Vertices are known to belong to 2 subgraphs. Edges of this network are typed, with 3 kinds of links.
● Data Source:
CranContrib
● Keywords: Regions, rsm, subgraph
● Alias: Regions
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Partition the vertices of a directed network with typed edges into clusters describing the connection patterns of subgraphs given as inputs. The inference is performed using a variational Bayes EM algorithm and the estimation of the number of clusters is obtained through a variational approximation of the marginal log likelihood.
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