Python package for hypergraph analysis and visualization.

A foundational library for Semantic Hypergraphs

HGX is a multi-purpose, open-source Python library for higher-order network analysis

hypergraph representation learning, graph neural network

Hypergraph Database with Hypergraph Visualization.

A software for hypergraph and multi-way network analysis 🌐

[EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs

Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)

Attributed Stream Hypergraph

A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.

All the World's a (Hyper)Graph: A Data Drama (DSH 2023)

Library for epidemics on hypergraphs

embeddings for hyperedges in a hypergraph

Source code for WWW 2024 paper "VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation."

Hypergraph-based data mining for binary classification

HIT (Hypergraph Interaction Transformer) for therapeutic gene prediction (Authors' PyTorch Implementation).

This repository is associated with the paper: “A Poset-Based Approach to Curvature of Hypergraphs”

This repository contains datasets and codes for the paper Hypergraph Motifs Representation Learning. Alessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Valerio Di Pasquale, Mirko Polato, Carmine Spagnuolo, KDD 2025

A library for performing dynamic simulations on MØD hypergraphs.

Official implementation of "Differentiable Lifting for Topological Neural Networks." A general framework (∂lift) for end-to-end learning of graph liftings to hypergraphs, cellular complexes, and simplicial complexes.