Finding cliques using few probes

RANDOM STRUCTURES & ALGORITHMS(2020)

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摘要
Consider algorithms with unbounded computation time that probe the entries of the adjacency matrix of an n vertex graph, and need to output a clique. We show that if the input graph is drawn at random from Gn,12 (and hence is likely to have a clique of size roughly 2logn), then for every delta l, there is an alpha<2 (that may depend on delta and l) such that no algorithm that makes n(delta) probes in l rounds is likely (over the choice of the random graph) to output a clique of size larger than alpha logn.
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关键词
random graphs,cliques,adaptive query model
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