hypergraphs topic
cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
graphbrain
Language, Knowledge, Cognition
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 ver...
hypergraph
Hypergraph is data structure library to create a directed hypergraph in which a hyperedge can join any number of vertices.
Hyper-SAGNN
hypergraph representation learning, graph neural network
xgi
CompleX Group Interactions (XGI) is a Python package for higher-order networks.
deep-hyperedges
New Algorithms for Learning on Hypergraphs
chgl
Chapel HyperGraph Library (CHGL) - HPC-class Hypergraphs in Chapel
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 sequen...
HyperNetX
Python package for hypergraph analysis and visualization.