mlsanityData to 7 Oct 2026

Scikit-network: Graph Analysis in Python

arXiv 2009.07660 ↗First posted 14 Sep 2020cs.SIcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Sep 2020.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 1; 2025: 0; 2026: 3.

8 papers.