DocumentCode :
3374345
Title :
A Unique Vertex Deleting Algorithm for Graph Isomorphism
Author :
Baida Zhang ; Yuhua Tang ; Junjie Wu ; Linqi Huang
Author_Institution :
Nat. Lab. for Parallel & Distrib. Process., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2011
fDate :
9-11 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Graph isomorphism problem has applications in many fields, such as chemistry, computer science, electronics, and network theory. But the exponential complexity of the algorithm makes the testing is time consuming. In this paper, a new algorithm named Unique Vertex Delete (UVD for short) is presented to speed up the process of isomorphic testing. The main idea of UVD algorithm is deleting vertex continuously to reduce the scale of the problem, and new field is added for each vertex to indicate the information of deleted neighbor vertices. Theoretical analysis and experiments show that the UVD algorithm consistently and significantly outperforms existing state-of-the-art approaches.
Keywords :
graph theory; isomorphism; vertex functions; UVD algorithm; chemistry; computer science; electronics; exponential complexity; graph isomorphism; isomorphic testing; network theory; unique vertex deleting algorithm; Algorithm design and analysis; Complexity theory; Educational institutions; Partitioning algorithms; Polynomials; Software algorithms; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Data Fusion (ISIDF), 2011 International Symposium on
Conference_Location :
Tengchong, Yunnan
Print_ISBN :
978-1-4577-0967-8
Type :
conf
DOI :
10.1109/ISIDF.2011.6024200
Filename :
6024200
Link To Document :
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