hypergraphs

Language, Knowledge, Cognition

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

TopicDB is a topic maps-based semantic graph store (using PostgreSQL for persistence)

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.

hypergraph representation learning, graph neural network

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

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergraph partitioner equipped with parallel implementations of techniques employed in most sequential state-of-the-art hypergraph partitioners. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

New Algorithms for Learning on Hypergraphs

Data and source code for the paper "Mapping flows on hypergraphs."

Hypergraph Case-Based Reasoning

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

embeddings for hyperedges in a hypergraph

A 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.

Bridging Elementary Landscapes and a Geometric Theory of Evolutionary Algorithms: First Steps (PPSN 2018)

A repository of the programs used in my summer project about hypergraphs and orthoalgebras. In particular, the programs are mostly for displaying graphs of certain algebras, and for checking validity of candidate orthoalgebras.

Image Hypergraph toolbox

A library for performing dynamic simulations on MØD hypergraphs.

Something with Parsing and Haskell.

C3MM: Clique-Closure based Hyperlink Prediction

Python3 application (GTK3, Cairo, OpenCL, NumPy) for my MSc thesis in Computer Science.

🐟 Epsilon nets

finding independent sets in sparse random hypergraphs

A visualiser for circuits represented as hypergraphs