A Distance Measure for Large Graphs based on Prime Graphs

Abstract : Graphs are universal modeling tools. They are used to represent objects and their relationships in almost all domains: they are used to represent DNA, images, videos, social networks, XML documents, etc. When objects are represented by graphs, the problem of their comparison is a problem of comparing graphs. Comparing objects is a key task in our daily life. It is the core of a search engine, the backbone of a mining tool, etc. Nowadays, comparing objects faces the challenge of the large amount of data that this task must deal with. Moreover, when graphs are used to model these objects, it is known that graph comparison is very complex and computationally hard especially for large graphs. So, research on simplifying graph comparison gained in interest and several solutions are proposed. In this paper, we explore and evaluate a new solution for the comparison of large graphs. Our approach relies on a compact encoding of graphs called prime graphs. These lasts are smaller and simpler than the original ones but they retain the structure and properties of the encoded graphs. We propose to approximate the similarity between two graphs by comparing the corresponding prime graphs. Simulations results show that this approach is effective for large graphs.
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Pattern Recognition, 2014, 47, 2014, pp.2993-3005. 〈10.1016/j.patcog.2014.03.014〉
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Soumis le : samedi 12 novembre 2016 - 11:17:02
Dernière modification le : mercredi 28 février 2018 - 15:20:28
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Sofiane Lagraa, Hamida Seba, Riadh Khennoufa, Abir Mbaya, Hamamache Kheddouci. A Distance Measure for Large Graphs based on Prime Graphs. Pattern Recognition, 2014, 47, 2014, pp.2993-3005. 〈10.1016/j.patcog.2014.03.014〉. 〈hal-01271721〉



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