Metadata-Version: 1.1
Name: StructuredGraphLearning
Version: 0.0.1
Summary: spectralGraphTopology provides estimators to learn k-component, bipartite, and k-component bipartite graphs from data by imposing spectral constraints on the eigenvalues and eigenvectors of the Laplacian and adjacency matrices. Those estimators leverage spectral properties of the graphical models as a prior information which turn out to play key roles in unsupervised machine learning tasks such as clustering.
Home-page: https://github.com/aditya510
Author: Aditya Bansal
Author-email: aditya510@gmail.com
License: MIT
Download-URL: https://github.com/Aditya510/StructuredGraphLearning/archive/refs/tags/v0.0.1.tar.gz
Description: UNKNOWN
Keywords: Graph,Learning,Spectral
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
