Treffer: Scikit-network: Graph Analysis in Python
Title:
Scikit-network: Graph Analysis in Python
Publisher Information:
2020-09-14
Document Type:
E-Ressource
Electronic Resource
Index Terms:
Availability:
Open access content. Open access content
Other Numbers:
COO oai:arXiv.org:2009.07660
Journal of Machine Learning Research, Microtome Publishing, In press
1228432579
Journal of Machine Learning Research, Microtome Publishing, In press
1228432579
Contributing Source:
CORNELL UNIV
From OAIster®, provided by the OCLC Cooperative.
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1228432579
Database:
OAIster
Weitere Informationen
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.