AGM algorithm and HSIGRAM algorithm are two typical frequent subgraph mining algorithms. They have important influence on graph-based data mining. These two algorithms are introduced briefly in this paper. The differences and similarities of these algorithms are analyzed from two aspects of algorithm idea and technology. Combined with the characteristics of graph-based data mining, the improved strategies of these two algorithms are proposed. It benefits to improve the efficiency of other frequent subgraph mining algorithms.
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