A library for performing dynamic simulations on MØD hypergraphs.
-
Updated
Jun 28, 2017 - Python
A library for performing dynamic simulations on MØD hypergraphs.
This repository is associated with the paper: “A Poset-Based Approach to Curvature of Hypergraphs”
Hypergraph-based data mining for binary classification
Source code for WWW 2024 paper "VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation."
embeddings for hyperedges in a hypergraph
Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs"
Library for epidemics on hypergraphs
Attributed Stream Hypergraph
All the World's a (Hyper)Graph: A Data Drama (DSH 2023)
A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)
hypergraph representation learning, graph neural network
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Python package for hypergraph analysis and visualization.
Language, Knowledge, Cognition
Add a description, image, and links to the hypergraphs topic page so that developers can more easily learn about it.
To associate your repository with the hypergraphs topic, visit your repo's landing page and select "manage topics."