2017
DOI: 10.5120/ijca2017913414
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A Comparative Study of Graph Isomorphism Applications

Abstract: Graphs are powerful data structure to represent objects and their concepts. Objects are nothing but nodes and edges describes relation among objects. Number of real world problems is represented by graph. Graph isomorphism is the area of pattern matching and widely used in various applications such as image processing, protein structure, computer and information system, chemical bond structure, Social Networks. This paper surveys both various applications of graph isomorphism and their importance in the societ… Show more

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Cited by 3 publications
(1 citation statement)
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“…1], Graph (Non-)Isomorphism played a special role in the creation of the class AM [Bab85, GMR85,BM88], and it still stands today as one of the few natural candidates for a problem that is "NP-intermediate," that is, in NP, but neither in P nor NP-complete [Lad75] (see [Exc] for additional candidates). Beyond its practical applications (e. g., [SV17,Irn05] and references therein) and its naturality, part of its fascination comes from its universal property: GI is universal for isomorphism problems for "explicitly given" structures [ZKT85,Sec. 15], that is, first-order structures on a set V where, e. g., a k-ary relation on V is given by listing out a subset R ⊆ V k .…”
Section: Introductionmentioning
confidence: 99%
“…1], Graph (Non-)Isomorphism played a special role in the creation of the class AM [Bab85, GMR85,BM88], and it still stands today as one of the few natural candidates for a problem that is "NP-intermediate," that is, in NP, but neither in P nor NP-complete [Lad75] (see [Exc] for additional candidates). Beyond its practical applications (e. g., [SV17,Irn05] and references therein) and its naturality, part of its fascination comes from its universal property: GI is universal for isomorphism problems for "explicitly given" structures [ZKT85,Sec. 15], that is, first-order structures on a set V where, e. g., a k-ary relation on V is given by listing out a subset R ⊆ V k .…”
Section: Introductionmentioning
confidence: 99%