hypergraphs
There are 7 repositories under hypergraphs topic.
graphbrain / graphbrain
Language, Knowledge, Cognition
Language:Python 576- Language:Python 512
- cleora
BaseModelAI / cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Language:Jupyter Notebook 481 - kahypar
kahypar / kahypar
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.
Language:C++ 410 yamafaktory / hypergraph
Hypergraph is data structure library to create a directed hypergraph in which a hyperedge can join any number of vertices.
Language:Rust 274- hypergraphx
HGX-Team / hypergraphx
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Language:Python 183 - Language:Jupyter Notebook 172
- mt-kahypar
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.
Language:C++ 112 ma-compbio / Hyper-SAGNN
hypergraph representation learning, graph neural network
Language:Python 82joshpxyne / deep-hyperedges
New Algorithms for Learning on Hypergraphs
Language:Jupyter Notebook 38- Language:Chapel 29
- orchidLanguage:Python 16
reticula-network / reticula
The general purpose library for analysing static, temporal and hypergraph networks.
Language:C++ 16Python binding for Reticula: the general purpose library for analysing static, temporal and hypergraph networks.
Language:C++ 15vaibhavkarve / multihypergraph
A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.
Language:Python 15geon0325 / MoCHy
Source code for VLDB 2020 paper "Hypergraph Motifs: Concepts, Algorithms, and Discoveries."
Language:C++ 14- Language:Python 14
GiulioRossetti / ASH
Attributed Stream Hypergraph
Language:Python 13nwlandry / hypercontagion
Library for epidemics on hypergraphs
Language:Python 12- Language:C++ 11
Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting."
Language:C++ 11mapequation / mapping-hypergraphs
Data and source code for the paper "How choosing random-walk model and network representation matters for flow-based community detection in hypergraphs"
Language:Jupyter Notebook 11AdrianBZG / HyperBERT
Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs"
Language:Python 8- Language:Python 7
Source code for IJCAI 2022 paper "HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams."
Language:C++ 6Source code for WWW 2024 paper "VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation."
Language:Python 6A python package that recognizes clauses, Cnfs, graphs, hypergraphs, and multi-hypergraphs. The package implements local graph-rewriting, graph-satchecking, calculation of graph disjunctions, as well as checking of new reduction rules.
Language:Jupyter Notebook 5hypper-team / hypper
Hypergraph-based data mining for binary classification
Language:Python 4- Language:C++ 3
- Language:R 3
lady-bluecopper / FreSCo
Frequent Pattern Mining in Simplicial Complexes
Language:Java 3- HypED
Approximate point-to-point s-Distances in Hypergraphs
Language:Jupyter Notebook 3 orbitmines / ray
A Universal Language: One Ray to rule them all, One Ray to find them, One Ray to bring them all, and in the darkness bind them.
Language:TypeScript 3asamallab / Poset-Hypergraph-Curvature
This repository is associated with the paper: “A Poset-Based Approach to Curvature of Hypergraphs”
Language:Python 2HyperHDG / HyperHDG
C++ based library implementing hybrid discontinuous Galerkin methods on extremely general domains: that is, all standard (volume) domains, graphs, networks of surfaces, and several other types of "domains" that can be interpreted as hypergraphs.
Language:C++ 2
