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A subgraph matching algorithm based on subgraph index for knowledge graph

Frontiers of Computer Science 2022年第3期16卷 123-140页

作者： Yunhao SUN Guanyu LI Jingjing DU Bo NING Heng CHEN Faculty of Information Science and Technology Dalian Maritime UniversityLiaoning 116026China Faculty of Software Dalian University of Foreign LanguagesLiaoning 116044China

The problem of subgraph matching is one fundamental issue in graph search,which is NP-Complete ***,subgraph matching has become a popular research topic in the field of knowledge graph analysis,which has a wide range of applications including question answering and semantic *** this paper,we study the problem of subgraph matching on knowledge ***,given a query graph q and a data graph G,the problem of subgraph matching is to conduct all possible subgraph isomorphic mappings of q on *** graph is formed as a directed labeled multi-graph having multiple edges between a pair of vertices and it has more dense semantic and structural features than general *** accelerate subgraph matching on knowledge graph,we propose a novel subgraph matching algorithm based on subgraph index for knowledge graph,called as *** subgraph matching algorithm consists of two key *** design is a subgraph index of matching-driven flow graph(FGqT),which reduces redundant calculations in *** design is a multi-label weight matrix,which evaluates a near-optimal matching tree for minimizing the intermediate *** the aid of these two key designs,all subgraph isomorphic mappings are quickly conducted only by traversing *** empirical studies on real and synthetic graphs demonstrate that our techniques outperform the state-of-the-art algorithms.

关键词： knowledge graph subgraph matching subgraph index matching tree

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