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Pattern Recognition Letters
Article . 2003 . Peer-reviewed
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A large database of graphs and its use for benchmarking graph isomorphism algorithms

Authors: DE SANTO, Massimo; FOGGIA, PASQUALE; SANSONE C.; VENTO, Mario;

A large database of graphs and its use for benchmarking graph isomorphism algorithms

Abstract

Summary: Despite of the fact that graph-based methods are gaining more and more popularity in different scientific areas, it has to be considered that the choice of an appropriate algorithm for a given application is still the most crucial task. The lack of a large database of graphs makes the task of comparing the performance of different graph matching algorithms difficult, and often the selection of an algorithm is made on the basis of a few experimental results available. In this paper we present an experimental comparative evaluation of the performance of four graph matching algorithms. In order to perform this comparison, we have built and made available a large database of graphs, which is also described in detail in this article.

Keywords

Benchmarking, Graph theory (including graph drawing) in computer science, Database theory, Exact graph matching, Graph database, Graph isomorphism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 10%
Top 10%
Average
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