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Graph algorithms

Project description

logo sknetwork

scikit-network

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Simple and efficient tools for the analysis of large graphs

Quickstart

Install scikit-network:

$ pip install scikit-network

To use scikit-network in a project:

import sknetwork as skn

See examples in the Tutorials section.

History

0.8.0 (2019-07-17)

  • Changed Louvain, BiLouvain, Paris and PageRank APIs

  • Changed PageRank method

  • Documentation overhaul

  • Improved Jupyter tutorials

0.7.1 (2019-07-04)

  • Added Algorithm class for nicer repr of some classes

  • Added Jupyter notebooks as tutorials in the docs

  • Minor fixes

0.7.0 (2019-06-24)

  • Updated PageRank

  • Added tests for Numba versioning

0.6.1 (2019-06-19)

  • Minor bug

0.6.0 (2019-06-19)

  • Largest connected component

  • Simplex projection

  • Sparse Low Rank Decomposition

  • Numba support for Paris

  • Various fixes and updates

0.5.0 (2019-04-18)

  • Unified Louvain.

0.4.0 (2019-04-03)

  • Added Louvain for directed graphs and ComboLouvain for bipartite graphs.

0.3.0 (2019-03-29)

  • Updated clustering module and documentation.

0.2.0 (2019-03-21)

  • First real release on PyPI.

0.1.1 (2018-05-29)

  • First release on PyPI.

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