Integrating Entity and Attribute for Object Similarity

ABSTRACT

In this paper, we propose a new object similarity algorithm (OSA) to address the problem of similarity calculation on the complex graph network by integrating the entity and attribute similarity of the graph node. Our proposed method can solve the similarity judgment of the objects, which are typically lack of links or attributes. Extensive experiments results have shown that our proposed object similarity method has the advantage of assessing the similarity of objects comprehensively. Our method can correct the one-sided judgment errors and improve the ability to distinguish similarity of graph objects.

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