DocumentCode :
2370314
Title :
Parallel graph isomorphism detection with identification matrices
Author :
Chen, Lin
Author_Institution :
Fundamental Res. Lab., Los Angeles, CA, USA
fYear :
1994
fDate :
14-16 Dec 1994
Firstpage :
105
Lastpage :
112
Abstract :
In this paper, we investigate some properties of identification matrices and exhibit some uses of identification matrices in studying the graph isomorphism problem, a well-known long-standing open problem. We show that, given two m×n identification matrices representing two graphs according to a certain relation, isomorphism can be decided efficiently in parallel if an m×(n-c) submatrix, for a constant c, satisfies the consecutive/circular 1´s property. The result presented here significantly broadens the class of graphs for which there are known efficient parallel isomorphism testing algorithms
Keywords :
graph theory; matrix algebra; parallel algorithms; graph isomorphism detection; identification matrices; isomorphism detection; parallel isomorphism testing; Computational modeling; Joining processes; Laboratories; Parallel architectures; Phase change random access memory; Testing; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Architectures, Algorithms and Networks, 1994. (ISPAN), International Symposium on
Conference_Location :
Kanazawa
Print_ISBN :
0-8186-6507-6
Type :
conf
DOI :
10.1109/ISPAN.1994.367158
Filename :
367158
Link To Document :
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