Nearly optimal edge estimation with independent set queries

July 09, 2019 Β· Declared Dead Β· πŸ› ACM-SIAM Symposium on Discrete Algorithms

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Authors Xi Chen, Amit Levi, Erik Waingarten arXiv ID 1907.04381 Category cs.DS: Data Structures & Algorithms Citations 24 Venue ACM-SIAM Symposium on Discrete Algorithms Last Checked 3 months ago
Abstract
We study the problem of estimating the number of edges of an unknown, undirected graph $G=([n],E)$ with access to an independent set oracle. When queried about a subset $S\subseteq [n]$ of vertices the independent set oracle answers whether $S$ is an independent set in $G$ or not. Our first main result is an algorithm that computes a $(1+Ξ΅)$-approximation of the number of edges $m$ of the graph using $\min(\sqrt{m},n / \sqrt{m})\cdot\textrm{poly}(\log n,1/Ξ΅)$ independent set queries. This improves the upper bound of $\min(\sqrt{m},n^2/m)\cdot\textrm{poly}(\log n,1/Ξ΅)$ by Beame et al. \cite{BHRRS18}. Our second main result shows that ${\min(\sqrt{m},n/\sqrt{m}))/\textrm{polylog}(n)}$ independent set queries are necessary, thus establishing that our algorithm is optimal up to a factor of $\textrm{poly}(\log n, 1/Ξ΅)$.
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