scikit-network 0.14.0

Graph algorithms

Fast algorithms for the analysis of massive graphs.

• Free software: BSD license

• Documentation: https://scikit-network.readthedocs.io.

Quickstart

Install scikit-network:

$ pip install scikit-network

Import scikit-network in a Python project:

import sknetwork as skn

See examples in the tutorials; the notebooks are available here.

History

0.14.0 (2020-04-17)

• Added spring layout in embedding

• Added label propagation in classification

• Added save / load functions in data

• Added display edges parameter in svg graph exports

• Corrected typos in documentation

0.13.3 (2020-04-13)

• Minor bug

0.13.2 (2020-04-13)

• Added wheels for multiple platforms (OSX, Windows (32 & 64 bits) and many Linux) and Python version (3.6/3.7/3.8)

• Documentation update (SVG dendrograms, tutorial updates)

0.13.1a (2020-04-09)

• Minor bug

0.13.0a (2020-04-09)

• Changed from Numba to Cython for better performance

• Added visualization module

• Added k-nearest neighbors classifier

• Added Louvain hierarchy

• Added predict method in embedding

• Added soft clustering to clustering algorithms

• Added soft classification to classification algorithms

• Added graphs in data module

• Various API change

0.12.1 (2020-01-20)

• Added heat kernel based node classifier

• Updated loaders for WikiLinks

• Fixed file-related issues for Windows

0.12.0 (2019-12-10)

• Added VerboseMixin for verbosity features

• Added Loaders for WikiLinks & Konect databases

0.11.0 (2019-11-28)

• sknetwork: new API for bipartite graphs

• new module: Soft node classification

• new module: Node classification

• new module: data (merge toy graphs + loader)

• clustering: Spectral Clustering

• ranking: new algorithms

• utils: K-neighbors

• hierarchy: Spectral WardDense

• data: loader (Vital Wikipedia)

0.10.1 (2019-08-26)

• Minor bug

0.10.0 (2019-08-26)

• Clustering (and related metrics) for directed and bipartite graphs

• Hierarchical clustering (and related metrics) for directed and bipartite graphs

• Fix bugs on embedding algorithms

0.9.0 (2019-07-24)

• Change parser output

• Fix bugs in ranking algorithms (zero-degree nodes)

• Add notebooks

• Import algorithms from scipy (shortest path, connected components, bfs/dfs)

• Change SVD embedding (now in decreasing order of singular values)

0.8.2 (2019-07-19)

• Minor bug

0.8.1 (2019-07-18)

• Added diffusion ranking

• Minor fixes

• Minor doc tweaking

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.