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Error-correcting graph isomorphism using decision trees

机译:使用决策树的纠错图同构

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摘要

In this paper we present a fast algorithm for the computation of error-correcting graph isomorphisms. The new algorithm is an extension of a method for exact subgraph isomorphism detection from an input graph to a set of a priori known model graphs, which was previously developed by the authors. Similar to the original algorithm, the new method is based on the idea of creating a decision tree from the model graphs. This decision tree is compiled off-line in a preprocessing step.
机译:在本文中,我们提出了一种用于错误校正图同构的快速算法。新算法是从输入图到一组先验已知模型图的精确子图同构检测方法的扩展,该方法先前由作者开发。与原始算法相似,新方法基于从模型图创建决策树的想法。该决策树在预处理步骤中脱机编译。

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