Abstract
Graph mining is an active research area during these days. Graphs have become significant in the modeling of complicated structures such as circuit images, chemical compounds, protein structures, biological networks, social networks, web workflows and XML documents. A common framework is necessary to study various graph mining algorithms and their applications. In this paper, we present a review study of various algorithms based on their graph representation, subgraph generation, algorithm approach, frequency evaluation and search strategy.
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