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Scalable distributed Louvain algorithm for community detection in large graphs
NS Sattar, S Arifuzzaman - The Journal of Supercomputing, 2022 - Springer
Community detection (or clustering) in large-scale graphs is an important problem in graph
mining. Communities reveal interesting organizational and functional characteristics of a …
mining. Communities reveal interesting organizational and functional characteristics of a …
Gve-louvain: Fast louvain algorithm for community detection in shared memory setting
S Sahu - ar** community detection algorithm on GPU
Community detection is one of the most representative graph mining applications, which is
often assembled as a concurrent graph partition application to explore the maximum …
often assembled as a concurrent graph partition application to explore the maximum …
DF Louvain: Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs
S Sahu - ar**, clustering (using either the Fuzzy C …
Fast Leiden Algorithm for Community Detection in Shared Memory Setting
Community detection is the problem of identifying natural divisions in networks. Efficient
parallel algorithms for identifying such divisions is critical in a number of applications, where …
parallel algorithms for identifying such divisions is critical in a number of applications, where …
Towards scaling community detection on distributed-memory heterogeneous systems
In most real-world networks, nodes/vertices tend to be organized into tightly-knit modules
known as communities or clusters such that nodes within a community are more likely to be …
known as communities or clusters such that nodes within a community are more likely to be …