Scikit-network is a Python package inspired by scikit-learn for the analysis of large graphs. Graphs are represented by their adjacency matrix in the sparse CSR format of SciPy. The package provides state-of-the-art algorithms for ranking, clustering, classifying, embedding and visualizing the nodes of a graph. High performance is achieved through a mix of fast matrix-vector products (using SciPy), compiled code (using Cython) and parallel processing. The package is distributed under the BSD license, with dependencies limited to NumPy and SciPy. It is compatible with Python 3.6 and newer. Source code, documentation and installation instructions are available online.

中文翻译：

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Scikit-network：Python 中的图分析

Scikit-network 是一个受 scikit-learn 启发的 Python 包，用于分析大图。图由 SciPy 的稀疏 CSR 格式中的邻接矩阵表示。该软件包提供了最先进的算法，用于对图的节点进行排序、聚类、分类、嵌入和可视化。高性能是通过混合快速矩阵向量乘积（使用 SciPy）、编译代码（使用 Cython）和并行处理来实现的。该软件包在 BSD 许可下分发，依赖项仅限于 NumPy 和 SciPy。它与 Python 3.6 及更新版本兼容。可在线获取源代码、文档和安装说明。