gnu: Add python-leidenalg.
* gnu/packages/graph.scm (python-leidenalg): New variable.
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@ -415,3 +415,34 @@ CPUFLAGS = ~{~a ~}~%"
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(description "Faiss is a library for efficient similarity search and
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(description "Faiss is a library for efficient similarity search and
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clustering of dense vectors. This package provides Python bindings to the
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clustering of dense vectors. This package provides Python bindings to the
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Faiss library.")))
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Faiss library.")))
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(define-public python-leidenalg
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(package
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(name "python-leidenalg")
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(version "0.7.0")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "leidenalg" version))
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(sha256
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(base32
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"15fwld9hdw357rd026mzcwpah5liy4f33vc9x9kwy37g71b2rjf1"))))
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(build-system python-build-system)
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(arguments '(#:tests? #f)) ; tests are not included
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(native-inputs
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`(("pkg-config" ,pkg-config)))
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(inputs
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`(("igraph" ,igraph)))
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(propagated-inputs
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`(("python-igraph" ,python-igraph)))
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(home-page "https://github.com/vtraag/leidenalg")
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(synopsis "Community detection in large networks")
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(description
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"Leiden is a general algorithm for methods of community detection in
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large networks. This package implements the Leiden algorithm in C++ and
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exposes it to Python. Besides the relative flexibility of the implementation,
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it also scales well, and can be run on graphs of millions of nodes (as long as
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they can fit in memory). The core function is @code{find_partition} which
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finds the optimal partition using the Leiden algorithm, which is an extension
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of the Louvain algorithm, for a number of different methods.")
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(license license:gpl3+)))
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