Language, Knowledge, Cognition

Python package for hypergraph analysis and visualization.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

Hypergraph is data structure library to create a directed hypergraph in which a hyperedge can join any number of vertices.

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

CompleX Group Interactions (XGI) is a Python package for higher-order networks.

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

hypergraph representation learning, graph neural network

New Algorithms for Learning on Hypergraphs

Chapel HyperGraph Library (CHGL) - HPC-class Hypergraphs in Chapel

A software for hypergraph and multi-way network analysis 🌐

Python binding for Reticula: the general purpose library for analysing static, temporal and hypergraph networks.

The general purpose library for analysing static, temporal and hypergraph networks.

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

Source code for VLDB 2020 paper "Hypergraph Motifs: Concepts, Algorithms, and Discoveries."

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)

Attributed Stream Hypergraph

Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs" (EMNLP 2024)