First efficient sum-of-squares algorithms recover exact and approximate overlapping planted cliques in dense random intersection graphs for k ≫ √(n log n), with robustness to noise, monotone adversaries, and optimal edge corruptions.
Expected complexity of graph partitioning problems.Discrete Applied Mathe- matics, 57(2-3):193–212
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Robust Algorithms for Finding Cliques in Random Intersection Graphs via Sum-of-Squares
First efficient sum-of-squares algorithms recover exact and approximate overlapping planted cliques in dense random intersection graphs for k ≫ √(n log n), with robustness to noise, monotone adversaries, and optimal edge corruptions.