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Improved Parameterized Algorithms for Network Query Problems

机译:改进的网络查询问题参数化算法

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In the Partial Information Network Query (PINQ) problem, we are given a host graph H, and a pattern P whose topology is partially known. We seek a subgraph of H that resembles P. PINQ is a generalization of Subgraph Isomorphism, where the topology of P is known, and Graph Motif, where the topology of P is unknown. This generalization has important applications to bioinformatics, since it addresses the major challenge of analyzing biological networks in the absence of certain topological data. In this paper, we use a non-standard part-algebraic/part-combinatorial hybridization strategy to develop an exact parameterized algorithm as well as an FPT-approximation scheme for PINQ, allowing near resemblance between H and P. We thus unify and significantly improve previous results related to network queries.
机译:在部分信息网络查询(PINQ)问题中,我们得到了一个主机图H和一个模式P,该模式P的拓扑是部分已知的。我们寻求类似于P的H的子图。PINQ是子图同构(其中P的拓扑已知)和图基序(Graph Motif)(其中P的拓扑未知)的推广。这种概括对生物信息学具有重要的应用,因为它解决了在缺乏某些拓扑数据的情况下分析生物网络的主要挑战。在本文中,我们使用非标准的部分代数/部分组合杂交策略开发了精确的参数化算法以及PINQ的FPT逼近方案,从而使H和P之间几乎相似。与网络查询相关的先前结果。

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