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[ 原始碼: python-leidenalg  ]

套件: python3-leidenalg (0.8.9-1)

python3-leidenalg 的相關超連結

python3-leidenalg

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下載原始碼套件 python-leidenalg

維護者:

Original Maintainers:

  • Debian Med Packaging Team (郵件存檔)
  • Andreas Tille
  • Nilesh Patra

外部的資源:

相似套件:

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.

其他與 python3-leidenalg 有關的套件

  • 依賴
  • 推薦
  • 建議
  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    同時作為一個虛擬套件由這些套件提供: libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1)
    GCC support library
  • dep: libigraph2 (>= 0.9.4)
    library for creating and manipulating graphs
  • dep: libstdc++6 (>= 11)
    GNU Standard C++ Library v3
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-igraph
    High performance graph data structures and algorithms (Python 3)
  • dep: python3-pkg-resources
    Package Discovery and Resource Access using pkg_resources

下載 python3-leidenalg

下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
amd64 88.7 kB316 kB [文件列表]