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Stochastic Block Model (SBM)

Emerging
2papers using it
2024first seen

The Stochastic Block Model (SBM) is a generative model for graphs that contains clusters of nodes with varying connection probabilities, and it is used to evaluate the performance of graph embedding algorithms like DeepWalk in recovering cluster structures.

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Papers using Stochastic Block Model (SBM) (1)

Stochastic Block Model (SBM) — datasets — graph-learning