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Scalable Overlapping Community Detection
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016Recent advancements in machine learning algorithms have transformed the data analytics domain and provided innovative solutions to inherently difficult problems. However, training models at scale over large data sets remains a daunting challenge. One such problem is the detection of overlapping communities within graphs.
Ismail El-Helw +5 more
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Community Detection in Hypergraphs
2012Many datasets can be interpreted as graphs, i.e. as elements (nodes) and binary relations between them (edges). Under the label of complex network analysis, a vast array of graph-based methods allows the exploration of datasets purely based on such structural properties.
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Community Detection in Multiplex Networks
ACM Computing Surveys, 2022Roberto Interdonato +2 more
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A Community Structure Enhancement-Based Community Detection Algorithm for Complex Networks
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Yunyun Niu, Yansen Su, Xingyi Zhang
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A Novel Local Community Detection Method Using Evolutionary Computation
IEEE Transactions on Cybernetics, 2021Lijun Sun, Yuhui Shi, Chao Lyu
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Large-scale community detection based on core node and layer-by-layer label propagation
Information Sciences, 2023Ronghua Shang +2 more
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Local Overlapping Community Detection
ACM Transactions on Knowledge Discovery From Data, 2020Bei Hua, Wenjian Luo, Li Ni
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