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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rdfs:label	GraphBLAS (en)
rdfs:comment	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)
foaf:homepage	https://graphblas.org
foaf:depiction
dcterms:subject	Graph description languages Numerical linear algebra Numerical software
Wikipage page ID	62286468 (xsd:integer)
Wikipage revision ID	1115823305 (xsd:integer)
Link from a Wikipage to another Wikipage	Python (programming language) Scalar (mathematics) Basic Linear Algebra Subprograms Julia (programming language) Graph description languages Degree (graph theory) Double-precision floating-point format Incidence matrix Library (computing) Thread safety Matrix (mathematics) Matrix multiplication Glossary of graph theory terms Multiplication Application programming interface Linear algebra MATLAB Function (computer programming) Specification (technical standard) C++ CUDA C (programming language) Additive identity Creative Commons licenses Lazy evaluation Linear map Graph algorithms Addition Adjacency matrix Data structures Finite field Breadth-first search Graph operations Asynchronous method invocation Java (programming language) Numerical linear algebra Numerical software Absorbing element LEMON (C++ library) Boolean algebra Sparse matrix Opaque data type Redis Semiring Set (mathematics) Vertex (graph theory) Tropical semiring Semirings
Link from a Wikipage to an external page	https://graphblas.org/ https://graphblas.org
sameAs	GraphBLAS GraphBLAS
dbp:wikiPageUsesTemplate	dbt:IPAc-en dbt:Infobox_technology_standard dbt:Reflist dbt:Rp dbt:Short_description dbt:Start_date
thumbnail	wiki-commons:Special:FilePath/GraphBLAS_logo.png?width=300
caption	The logo of the GraphBLAS API (en)
domain	Graph algorithms (en)
license	Creative Commons licenses
pages	32 (xsd:integer) xxv-xxvi (en)
quote	"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)
section	4.300000 (xsd:double) Preface (en)
status	Released (en)
title	GraphBLAS Specification (en)
version	2 (xsd:integer)
version date	2021-11-15 (xsd:date)
website	https://graphblas.org
has abstract	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)
at	"VII. 0-Element: No Graph Edge" (en)
first published	2017-05-29 (xsd:date)
prov:wasDerivedFrom	wikipedia-en:GraphBLAS?oldid=1115823305&ns=0
page length (characters) of wiki page	20841 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:GraphBLAS
is foaf:primaryTopic of	wikipedia-en:GraphBLAS

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