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.
Thresholds for reconstruction of random hypergraphsfromgraphprojections
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DS 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.