主催: 人工知能学会
会議名: 第105回 知識ベースシステム研究会
回次: 105
開催地: 関西学院大学 大阪梅田キャンパス
開催日: 2015/08/07
p. 05-
In this paper, we propose an efficient method for indexing and searching graphs for the supergraph component search problem. The problem is to find graphs contained by a given query graph from a graph database consisting of many graphs. While the conventional methods use frequent subgraph patterns in the database to construct an index for the database, the proposed method uses subgraph patterns which are infrequent for its index. In our experimental evaluation, we show one order of magnitude improvement by our proposed method compared with the conventional method.