In this work, we develop a hybrid parallel approach for community detection in graphs using Information Theory.

In this work, we develop a hybrid parallel approach for community detection in graphs using Information Theory. We perform extensive benchmarking and analyze ...

This work develops a hybrid parallel approach for community detection in graphs using Information Theory, HyPC-Map, which demonstrates a 25-fold speedup ...

May 29, 2024 · This paper is concerned with diagnosability analysis, which proves a requisite for several tasks during the system's life cycle. The Model-Based ...

HyPC-Map: Hybrid Parallel Community Discovery using Infomap. Md Abdul Motaleb Faysal, Shaikh M Arifuzzaman (University of New Orleans),. Cy Chan, Maximilian ...

HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach. MAM Faysal, S Arifuzzaman, C Chan, M Bremer, D Popovici, J Shalf.

... Community Detection in Large Graphs. 7 Aug 2023 ... HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach.

Hypc-map: A hybrid parallel community detection algorithm using information-theoretic approach. MAM Faysal, S Arifuzzaman, C Chan, M Bremer, D Popovici, J Shalf.

HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach · Accelerating the Information-Theoretic Approach of Community ...

Aug 8, 2024 · HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach. HPEC 2021: 1-8. [+][–]. 2010 – 2019. FAQ. see ...