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Sketch-based community detection via representative node sampling
This paper proposes a sketch-based approach to the community detection problem which
clusters the full graph through the use of an informative and concise sketch. The reduced …
clusters the full graph through the use of an informative and concise sketch. The reduced …
Scalable community detection in the degree-corrected stochastic block model
Community detection aims to partition a connected graph into a small number of clusters.
The Degree-Corrected Stochastic Block Model (DCSBM) is one popular generative model …
The Degree-Corrected Stochastic Block Model (DCSBM) is one popular generative model …
Sketch-based community detection in evolving networks
We consider an approach for community detection in time-varying networks. At its core, this
approach maintains a small sketch graph to capture the essential community structure found …
approach maintains a small sketch graph to capture the essential community structure found …
In Pursuit of Low-dimensional Manifold Structures in High-dimensional Data
M Sedghi - 2020 - stars.library.ucf.edu
The ever-increasing availability of large-scale and high-dimensional data offers
unprecedented opportunities for data-driven studies across widely differing domains ranging …
unprecedented opportunities for data-driven studies across widely differing domains ranging …