HyperNetX | Python package for hypergraph analysis and visualization | Natural Language Processing library

HyperNetX is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. HyperNetX has no vulnerabilities, it has build file available and it has low support. However HyperNetX has 88 bugs and it has a Non-SPDX License. You can install using 'pip install HyperNetX' or download it from GitHub, PyPI.

The HNX library provides classes and methods for modeling the entities and relationships found in complex networks as hypergraphs, the natural models for multi-dimensional network data. As strict generalizations of graphs, hyperedges can represent arbitrary multi-way relations among entities, and in particular can distinguish cliques and simplices, and admit singleton edges. As both vertex adjacency and edge incidence are generalized to be quantities, hypergraph paths and walks thereby have both length and width because of these multiway connections. Most graph metrics have natural generalizations to hypergraphs, but since hypergraphs are basically set systems, they also admit to the powerful tools of algebraic topology, including simplicial complexes and simplicial homology, to study their structure.