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Finding Frequent Subgraphs in a Single Graph based on Symmetry

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
D. Kavitha, V. Kamakshi Prasad, J. V. R. Murthy

D Kavitha, Kamakshi V Prasad and J V R Murthy. Finding Frequent Subgraphs in a Single Graph based on Symmetry. International Journal of Computer Applications 146(11):5-8, July 2016. BibTeX

	author = {D. Kavitha and V. Kamakshi Prasad and J. V. R. Murthy},
	title = {Finding Frequent Subgraphs in a Single Graph based on Symmetry},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2016},
	volume = {146},
	number = {11},
	month = {Jul},
	year = {2016},
	issn = {0975-8887},
	pages = {5-8},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2016910895},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Mining frequent subgraphs is a basic activity that plays an important role in mining graph data. In this paper an algorithm is proposed to find frequent subgraphs in a single large graph that has applications such as protein interactions, social networks, web interactions. One of the key operations required by any frequent subgraph discovery algorithm is to perform graph isomorphism. The proposed algorithm offers mining frequent subgraphs by avoiding the subgraph isomorphism problem through exploiting the symmetry properties present in the given graph.


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Frequent subgraph, single graph, graph isomorphism, symmetry