There are 18 repositories under hypergraph topic.
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.
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
C++/Wolfram Language package for exploring set and graph rewriting systems
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
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.
Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
HypergraphZ - A Hypergraph Implementation in Zig
single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph
The source code of IEEE TPAMI 2025 "Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation".
A performant, parallel, probabilistic, random acyclic-graph, low-latency, perfect hash generation library.
Collection of papers relating data-driven higher-order graph/networks researches.
Code of the paper "Game theoretic hypergraph matching for multi-source image correspondences". [论文代码] 超图匹配和多源图像特征点匹配。
[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
A simplicial complex and hypergraph visualization tool similar to Graphviz.
The jBPT code library is a compendium of technologies that support research on design, execution, and evaluation of business processes. The library offers a broad range of basis analysis and utility functionality and, due to its open publishing model, can easily be extended.
multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning
implement hypergraphs on D3 force layout
C++ Hypergraph modelling Library using Boost and OpenMP with some algorithms, including isomorphism using Gecode.
A higher-order computing system
A curated list of awesome Hypergraph Learning frameworks, libraries and software.
[AAAI 2023] Official resources of "DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing".
Python binding for Reticula: the general purpose library for analysing static, temporal and hypergraph networks.
[NeurIPS 2024] Official resources of "Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction".
Knowledge Graph Toolkit
A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.
Utilities for cospans, wiring diagrams, frobenius algebras , spans, en operads and petri nets along with more basic utilities for morphisms in (symmetric) monoidal categories, flavors of FinSet, operads and nicely presented monoids