Graph Reconstruction and Verification

Sampath Kannan, Claire Mathieu, Hang Zhou
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引用次数: 18

Abstract

How efficiently can we find an unknown graph using distance or shortest path queries between its vertices? We assume that the unknown graph G is connected, unweighted, and has bounded degree. In the reconstruction problem, the goal is to find the graph G. In the verification problem, we are given a hypothetical graph Ĝ and want to check whether G is equal to Ĝ. We provide a randomized algorithm for reconstruction using Õ(n3/2) distance queries, based on Voronoi cell decomposition. Next, we analyze natural greedy algorithms for reconstruction using a shortest path oracle and also for verification using either oracle, and show that their query complexity is n1+o(1). We further improve the query complexity when the graph is chordal or outerplanar. Finally, we show some lower bounds, and consider an approximate version of the reconstruction problem.
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图的重构与验证
我们如何有效地找到一个未知的图使用距离或最短路径查询其顶点之间?我们假设未知图G是连通的、无权的、有界度的。在重构问题中,目标是找到图G。在验证问题中,我们给定一个假设图Ĝ,想要检查G是否等于Ĝ。我们提供了一种基于Voronoi细胞分解的随机重构算法,使用Õ(n3/2)距离查询。接下来,我们分析了使用最短路径oracle进行重建的自然贪婪算法,以及使用任意一种oracle进行验证的自然贪婪算法,并表明它们的查询复杂度为n1+o(1)。当图是弦状或外平面时,我们进一步提高了查询复杂度。最后,我们给出了一些下界,并考虑了重构问题的近似版本。
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