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Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-00980-z
Abstract: In this paper, we present an augmented Lagrangian alternating direction algorithm for symmetric nonnegative matrix factorization. The convergence of the algorithm is also proved in detail and strictly. Then we present a modified overlapping community…
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Keywords:
matrix factorization;
community detection;
symmetric nonnegative;
nonnegative matrix ... See more keywords
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Published in 2019 at "RNA Biology"
DOI: 10.1080/15476286.2019.1694732
Abstract: ABSTRACT Accumulating studies have shown that microRNAs (miRNAs) could be used as targets of small-molecule (SM) drugs to treat diseases. In recent years, researchers have proposed many computational models to reveal miRNA-SM associations due to…
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Keywords:
molecule;
small molecule;
nonnegative matrix;
matrix factorization ... See more keywords
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Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3125947
Abstract: The symmetric Nonnegative Matrix Factorization (NMF), a special but important class of the general NMF, has found numerous applications in data analysis such as various clustering tasks. Unfortunately, designing fast algorithms for the symmetric NMF…
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Keywords:
symmetric nonnegative;
type algorithms;
matrix factorization;
alternating type ... See more keywords
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Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3231593
Abstract: Community detection plays an important role in network analysis and has attracted considerable interest from researchers. In the past few decades, various community detection algorithms have been developed for single networks. However, in the real…
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Keywords:
symmetric nonnegative;
joint symmetric;
community;
community detection ... See more keywords