Inexact Attributed Subgraph Matching

2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)(2020)

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摘要
We present an approach for inexact subgraph matching on attributed graphs optimizing the graph edit distance. By combining lower bounds on the cost of individual assignments, we obtain a heuristic for a backtracking tree search to identify optimal solutions. We evaluate our algorithm on a knowledge graph dataset derived from real-world data, and analyze the space of optimal solutions.
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关键词
inexact subgraph matching,attributed graphs,graph edit distance,lower bounds,backtracking tree search,optimal solutions,knowledge graph dataset,inexact attributed subgraph matching,heuristic,time complexity
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