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A comment on Show HN: KarateClub a Python library for unsupervised machine learning on graphs.

Re:Show HN: KarateClub a Python library for unsupervised mac... by fudged71 on Tuesday April 07, 2020 @01:32PM (#22805430)
I've recently been looking into community detection for NetworX graphs for my collection of notes. How does performance compare with other community detection packages for NetworkX like Python-Louvain?
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Re:Show HN: KarateClub a Python library for unsupervised mac... by kugestu on Tuesday April 07, 2020 @05:13PM (#22807519)
Random side note: nowadays 'Leiden' is a recommended improvement on 'Louvain', fixing some connectivity issues and being faster: https://www.nature.com/articles/s41598-019-41695-z https://github.com/vtraag/leidenalg
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Re:Show HN: KarateClub a Python library for unsupervised mac... by benitorosenberg on Tuesday April 07, 2020 @02:41PM (#22806124)
Performance measured by what? NMI? Modularity?
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Re:Show HN: KarateClub a Python library for unsupervised mac... by fudged71 on Tuesday April 07, 2020 @04:03PM (#22806943)
Not super familiar with the measures, I'm just curious how it compares to other available approaches
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Re:Show HN: KarateClub a Python library for unsupervised mac... by benitorosenberg on Tuesday April 07, 2020 @04:05PM (#22806969)
Louvain greedily optimizes modularity - it is hard to beat it in terms of modularity.
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