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CP Models for Maximum Common Subgraph Problems

机译:最大公共子图问题的CP模型

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摘要

The distance between two graphs is usually defined by means of the size of a largest common subgraph. This common subgraph may be an induced subgraph, obtained by removing nodes, or a partial subgraph, obtained by removing arcs and nodes. In this paper, we introduce two soft CSPs which model these two maximum common subgraph problems in a unified framework. We also introduce and compare different CP models, corresponding to different levels of constraint propagation.
机译:通常通过最大的公共子图的大小来定义两个图之间的距离。该公共子图可以是通过删除节点获得的归纳子图,也可以是通过删除弧和节点获得的部分子图。在本文中,我们介绍了两个软CSP,它们在统一框架中对这两个最大的常见子图问题进行建模。我们还将介绍和比较不同的CP模型,它们对应于约束传播的不同级别。

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