Python package for hypergraph analysis and visualization.
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Updated
Oct 22, 2024 - Python
Python package for hypergraph analysis and visualization.
Language, Knowledge, Cognition
HGX is a multi-purpose, open-source Python library for higher-order network analysis
hypergraph representation learning, graph neural network
A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.
Attributed Stream Hypergraph
This repository is associated with the paper: “A Poset-Based Approach to Curvature of Hypergraphs”
Library for epidemics on hypergraphs
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)
All the World's a (Hyper)Graph: A Data Drama (DSH 2023)
This is the source code for implementing hyperedge representations via hypergraph wavelets.
Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs" (EMNLP 2024)
A library for performing dynamic simulations on MØD 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
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