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Finding Maximal Common Subgraphs via Time-Space Efficient Reverse Search

机译:通过时空有效的反向搜索找到最大的公共子图

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For any two given graphs, we study the problem of finding isomorphisms that correspond to inclusion-maximal common induced subgraphs that are connected. While common (induced or not) subgraphs can be easily listed using some well known reduction and state-of-the-art algorithms, they are not guaranteed to be connected. To meet the connectivity requirement, we propose an algorithm that revisits the paradigm of reverse search and guarantees polynomial time per solution (delay) and linear space, on top of showing good practical performance.
机译:对于任何两个给定的图,我们研究寻找与连接的包含最大公共诱导子图相对应的同构问题。尽管可以使用一些众所周知的归约和最新算法轻松列出常见的(归纳或不归纳)子图,但不能保证将它们连接起来。为了满足连接性要求,我们提出了一种算法,该算法重新展示了反向搜索的范式,并保证了每个解(延迟)和线性空间的多项式时间,同时还表现出了良好的实用性能。

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