Abstract
In view of the problem of low accuracy of subgraph distribution algorithm in existing graph classification, this paper constructs a n-order label null model based on the n-order null model, and proposes an index algorithm Build Graph Location Index (BGLI) and a subgraph distribution algorithm estimate subgraph on spark (ESGS). Firstly, in order to add the classification characteristics of the graph, the topological structure information, the vertex and edge label information of the graph are taken into consideration, and the n-order label null model is constructed. And validity that the label null model is used for the classification is proved. Secondly, in order to improve the efficiency of subgraph retrieval, BGLI algorithm is proposed to build the index based on label null model. Then, based on BGLI algorithm, the ESGS algorithm is proposed. Finally, the experiments prove that the subgraph extracted by ESGS algorithm as the classification characteristics can improve the accuracy of the classification.
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