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Community Detection in Graphs Review by Said Darya Al Afghani is a document available to read on EtoBox.

What is Community Detection in Graphs Review about?

This document is a comprehensive review of community detection in graphs, highlighting various methods such as modularity-based techniques, spectral clustering, probabilistic modeling, and deep learning approaches. It introduces a new community detection method called Revised Medoid-Shift (RMS) and compares the performance of existing methods on different datasets. The review aims to enhance understanding of community structures in complex networks and addresses challenges in the field, contributing to adva

Author

Said Darya Al Afghani

Language

EN