DocumentCode
59910
Title
Message-Passing Algorithms for Counting Short Cycles in a Graph
Author
Karimi, Maryam ; Banihashemi, Amir H.
Author_Institution
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Volume
61
Issue
2
fYear
2013
fDate
Feb-13
Firstpage
485
Lastpage
495
Abstract
A message-passing algorithm for counting short cycles in a graph is presented. For bipartite graphs, which are of particular interest in coding, the algorithm is capable of counting cycles of length g, g+2, ..., 2g-2, where g is the girth of the graph. For a general (non-bipartite) graph, cycles of length g, g+1, ..., 2g-1 can be counted. The algorithm is based on performing integer additions and subtractions in the nodes of the graph and passing extrinsic messages to adjacent nodes. The complexity of the proposed algorithm grows as O(g |E|2), where |E| is the number of edges in the graph. For sparse graphs, the proposed algorithm significantly outperforms the existing algorithms, tailored for counting em short cycles, in terms of computational complexity and memory requirements. We also discuss a more generic and basic approach of counting short cycles which is based on matrix multiplication, and provide a message-passing interpretation for such an approach. We then demonstrate that an efficient implementation of the matrix multiplication approach has essentially the same complexity as the proposed message-passing algorithm.
Keywords
encoding; graph theory; matrix multiplication; bipartite graphs; integer additions; integer subtraction; matrix multiplication; message passing algorithms; nonbipartite graph; short cycle counting; Bipartite graph; Complexity theory; Encoding; Iterative decoding; Partitioning algorithms; Symmetric matrices; Counting cycles in a graph; bipartite graph; closed walks; girth; low-density parity-check (LDPC) codes; short cycles; tailless backtrackless closed walks;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2012.100912.120503
Filename
6336765
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