2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) 2022
DOI: 10.1109/icaccs54159.2022.9785268
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An Important Sampling over Graph Convolutional Network for Community Detection

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Cited by 3 publications
(2 citation statements)
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“…Community detection [1] is a fundamental problem in network analysis that involves identifying groups of nodes in a network that are densely connected to each other and sparsely connected to nodes in other groups. Communities can be defined as subsets of nodes that have a higher density of edges within the subset compared to the density of edges between the subset and the rest of the network [2].…”
Section: Introductionmentioning
confidence: 99%
“…Community detection [1] is a fundamental problem in network analysis that involves identifying groups of nodes in a network that are densely connected to each other and sparsely connected to nodes in other groups. Communities can be defined as subsets of nodes that have a higher density of edges within the subset compared to the density of edges between the subset and the rest of the network [2].…”
Section: Introductionmentioning
confidence: 99%
“…Community detection [1] refers to the process of identifying groups of nodes (i.e., individuals or entities) that are more densely connected to each other than to nodes in other groups within a network or graph. In other words, it aims to identify clusters or communities of nodes that have similar attributes, such as interests, behaviors, or characteristics.…”
Section: Introductionmentioning
confidence: 99%