Fast parallel algorithms for graph similarity and matching
نویسندگان
چکیده
منابع مشابه
Fast parallel algorithms for graph similarity and matching
This paper addresses the problem of global graph alignment on supercomputer-class clusters. We define the alignment of two graphs, as a mapping of each vertex in the first graph to a unique vertex in the second graph so as to optimize a given similarity-based cost function.1 Using a state of the art serial algorithm for the computation of vertex similarity scores called Network Similarity Decom...
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We deal with two independent but related problems, those of graph similarity and subgraph matching, which are both important practical problems useful in several fields of science, engineering and data analysis. For the problem of graph similarity, we develop and test a new framework for solving the problem using belief propagation and related ideas. For the subgraph matching problem, we develo...
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Parallel graph algorithm design is a very well studied topic. Many results have been presented for the PRAM model. However, these algorithms are inherently fine grained and experiments show that PRAM algorithms do often not achieve the expected speedup on real machines because of large message overheads. In this paper, we present coarse grained parallel graph algorithms with small message overh...
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ژورنال
عنوان ژورنال: Journal of Parallel and Distributed Computing
سال: 2014
ISSN: 0743-7315
DOI: 10.1016/j.jpdc.2013.12.010