Scikit-network: Graph Analysis in Python

September 14, 2020 Β· Declared Dead Β· πŸ› Journal of machine learning research

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Thomas Bonald, Nathan de Lara, Quentin Lutz, Bertrand Charpentier arXiv ID 2009.07660 Category cs.SI: Social & Info Networks Citations 46 Venue Journal of machine learning research Last Checked 3 months ago
Abstract
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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Social & Info Networks

Died the same way β€” πŸ‘» Ghosted