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arXiv · 2509.22245

Less is More: Faster Maximum Clique Search by Work-Avoidance

Hans Vandierendonck
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Abstract

The maximum clique (MC) problem is a challenging graph mining problem which, due to its NP-hard nature, can take a substantial amount of execution time. The MC problem is dominated by set intersection operations similar to Maximal Clique Enumeration, however it differs in requiring to find only a clique of maximum size. As such, key to the problem is to demonstrate efficiently that a particular part of the search space does not contain a maximum clique, allowing to skip over major parts of the search space. We present a number of techniques to optimize MC search in light of leaving major parts of the search space unvisited, including (i) an efficient, lazily constructed graph representation; (ii) filtering prior to initiating a detailed search; (iii) efficient early-exit intersection algorithms; (iv) exploiting algorithmic choice. These techniques result in a speedup of up to 38.9x compared to PMC, which is the most comparable algorithm, and a speedup up to 11x over MC-BRB.

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Hans Vandierendonck. 2025-09-26. Less is More: Faster Maximum Clique Search by Work-Avoidance. https://doi.org/10.1109/ipdps64566.2025.00025

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