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Research map / Graph learning / Graph algorithms and clustering

A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis

AAAI 2017 · Graph learning › Graph algorithms and clustering · approach: Graph comparison and random features · 36 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use branch-and-search with reduction rules instead of IPBCmaximum k-plex solver · ERDOS-99-2 (k=5)running time (s): 653.5 -> 0.02Helped
use BS instead of GuidedBranchingmaximum k-plex solver · GEOM-0 (k=2)running time (s): 9.73 -> 0.01Helped
use BS instead of GuidedBranching on dense DIMACS clique graphsmaximum k-plex solver · DIMACS instancesrunning time (s): 1547.25 -> 0.07 (c-fat500-10); 1.77 -> 33.36 (hamming6-2)Mixed

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