About: GraphBLAS

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GraphBLAS (/ˈɡræfˌblɑːz/) is an API specification that defines standard building blocks for graph algorithms in the language of linear algebra. GraphBLAS is built upon the notion that a sparse matrix can be used to represent graphs as either an adjacency matrix or an incidence matrix. The GraphBLAS specification describes how graph operations (e.g. traversing and transforming graphs) can be efficiently implemented via linear algebraic methods (e.g. matrix multiplication) over different semirings.

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  • GraphBLAS (/ˈɡræfˌblɑːz/) is an API specification that defines standard building blocks for graph algorithms in the language of linear algebra. GraphBLAS is built upon the notion that a sparse matrix can be used to represent graphs as either an adjacency matrix or an incidence matrix. The GraphBLAS specification describes how graph operations (e.g. traversing and transforming graphs) can be efficiently implemented via linear algebraic methods (e.g. matrix multiplication) over different semirings. The development of GraphBLAS and its various implementations is an ongoing community effort, including representatives from industry, academia, and government research labs. (en)
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  • 62286468 (xsd:integer)
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  • 20841 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1115823305 (xsd:integer)
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dbp:at
  • "VII. 0-Element: No Graph Edge" (en)
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  • The logo of the GraphBLAS API (en)
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  • Graph algorithms (en)
dbp:firstPublished
  • 2017-05-29 (xsd:date)
dbp:license
dbp:pages
  • 32 (xsd:integer)
  • xxv-xxvi (en)
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  • "In most cases, the 0 element is standard arithmetic 0, but in other cases it can be a different value. Nonstandard 0 values can be helpful when combined with different ⊕ and ⊗ operations." (en)
dbp:section
  • 4.300000 (xsd:double)
  • Preface (en)
dbp:status
  • Released (en)
dbp:title
  • GraphBLAS Specification (en)
dbp:version
  • 2 (xsd:integer)
dbp:versionDate
  • 2021-11-15 (xsd:date)
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  • GraphBLAS (/ˈɡræfˌblɑːz/) is an API specification that defines standard building blocks for graph algorithms in the language of linear algebra. GraphBLAS is built upon the notion that a sparse matrix can be used to represent graphs as either an adjacency matrix or an incidence matrix. The GraphBLAS specification describes how graph operations (e.g. traversing and transforming graphs) can be efficiently implemented via linear algebraic methods (e.g. matrix multiplication) over different semirings. (en)
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  • GraphBLAS (en)
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