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Research map / Learning theory and algorithms / Clustering

Active Learning in the Geometric Block Model

AAAI 2020 · Learning theory and algorithms › Clustering · approach: Correlation clustering · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Combine triangle-counting edge removal with active label queriesGMPS18 on Political Blogs · Political Blogs (PB)accuracy: 0.788 -> 0.931Helped
Combine triangle-counting edge removal with active label queriesGMPS18 on LiveJournal · LiveJournal (LJ)accuracy: 0.777 -> 0.912Helped
Use the proposed triangle-counting active-learning method instead of S² aloneS² on Political Blogs · Political Blogs (PB)query complexity: 47.2$\%$ -> 3.7$\%$Helped
Use the proposed triangle-counting active-learning method instead of S² aloneS² on LiveJournal · LiveJournal (LJ)query complexity: 9.2 $\%$ -> 0.88$\%$Helped
Use triangle counting before active label queriesS² on Political Blogs · Political Blogs (PB)accuracy: 0.97 -> 0.931Hurt
Use triangle counting before active label queriesS² on LiveJournal · LiveJournal (LJ)accuracy: 0.999 -> 0.912Hurt
Use motif-counting active learning instead of spectral clusteringSpectral on Political Blogs · Political Blogs (PB)accuracy: 0.53 -> 0.931Helped
Use motif-counting active learning instead of spectral clusteringSpectral on LiveJournal · LiveJournal (LJ)accuracy: 0.64 -> 0.912Helped

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