Language, Knowledge, Cognition
Python package for hypergraph analysis and visualization.
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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."
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)
Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs" (EMNLP 2024)
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