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A new graph invariant for graph isomorphism: Probability propagation matrix

dc.citation.epage352en_US
dc.citation.issue3en_US
dc.citation.spage337en_US
dc.citation.volume15en_US
dc.citation.woscount1
dc.contributor.authorKing, GHen_US
dc.contributor.authorTzeng, WGen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2014-12-08T15:46:40Z
dc.date.available2014-12-08T15:46:40Z
dc.date.issued1999-05-01en_US
dc.description.abstractThe graph isomorphism problem is to determine whether two given graphs are isomorphic or not. In this paper, we present a new graph invariant, called the probability propagation matrix. By means of this graph invariant, we present a heuristic algorithm for the problem. The algorithm is easy to implement and highly parallelizable.en_US
dc.identifier.issn1016-2364en_US
dc.identifier.journalJOURNAL OF INFORMATION SCIENCE AND ENGINEERINGen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/31382
dc.identifier.wosnumberWOS:000080411200001
dc.language.isoen_USen_US
dc.subjectgraph isomorphismen_US
dc.subjectgraph invarianten_US
dc.subjectprobability propagation matrixen_US
dc.subjectparallel computingen_US
dc.subjectcomputational complexityen_US
dc.titleA new graph invariant for graph isomorphism: Probability propagation matrixen_US
dc.typeArticleen_US

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