Balík: python3-leidenalg (0.9.1-1 a iné)

[ Zdroj: python-leidenalg  ]

Python3 implementation of the Leiden algorithm in C++

This package implements the Leiden algorithm in C++ and exposes it to Python. It relies on igraph for it to function. Besides the relative flexibility of the implementation, it also scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The core function is find_partition which finds the optimal partition using the Leiden algorithm, which is an extension of the Louvain algorithm for a number of different methods. The methods currently implemented are

 1. modularity,
 2. Reichardt and Bornholdt's model using the configuration null model
    and the Erdös-Rényi null model,
 3. the Constant Potts model (CPM),
 4. Significance and finally
 5. Surprise.

In addition, it supports multiplex partition optimisation allowing community detection on for example negative links or multiple time slices. There is the possibility of only partially optimising a partition, so that some community assignments remain fixed. It also provides some support for community detection on bipartite graphs.

Ostatné balíky súvisiace s balíkom python3-leidenalg

• dep: libc6 (>= 2.29)

  knižnica GNU C - zdieľané knižnice
  tiež virtuálny balík poskytovaný balíkom libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  podporná knižnica GCC

• dep: libigraph3 (>= 0.10.0)

  library for creating and manipulating graphs

• dep: libstdc++6 (>= 11)

  štandardná knižnica C++ GNU v3

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.12)

  dep: python3 (>= 3.11~)

• dep: python3-igraph (>= 0.10)

  High performance graph data structures and algorithms (Python 3)

• dep: python3-pkg-resources

  objavovanie balíkov a prístup k zdrojom prostredníctvom pkg_resources

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Stiahnuť pre všetky dostupné architektúry

Architektúra	Verzia	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
mips64el	0.9.1-1+b1	79.1 kB	396.0 kB	[zoznam súborov]