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Efficient subgraph matching using topological node feature constraints

机译:使用拓扑节点特征约束的有效子图匹配

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This paper presents techniques designed to minimise the number of states which are explored during subgraph isomorphism detection. A set of advanced topological node features, calculated from n-neighbourhood graphs, is presented and shown to outperform existing features. Further, the pruning effectiveness of both the new and existing topological node features is significantly improved through the introduction of strengthening techniques. In addition to topological node features, these strengthening techniques can also be used to enhance application-specific node labels using a proposed novel extension to existing pruning algorithms. Through the combination of these techniques, the number of explored search states can be reduced to near-optimal levels. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文介绍了旨在最小化子图同构检测过程中探索状态数量的技术。提出并显示了一组根据n邻域图计算出的高级拓扑节点特征,这些特征优于现有特征。此外,通过引入加强技术,新的和现有的拓扑节点特征的修剪效率都得到了显着提高。除了拓扑节点功能以外,这些增强技术还可以用于通过使用对现有修剪算法的建议新颖扩展来增强特定于应用程序的节点标签。通过这些技术的组合,可以将探索的搜索状态的数量减少到最佳水平。 (C)2014 Elsevier Ltd.保留所有权利。

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