Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
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Nov 5, 2026 - Python
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Hypergraph Neural Networks (AAAI 2019)
Python package for hypergraph analysis and visualization.
python knowledge-graph simplicial-complexes hypergraph hypergraphs simplicial-homology s-linegraph property-hypergraphs
[ICML 2026] Official resources of "Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning".
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.
cpp graph graph-algorithms graphs partitioning-algorithms evolutionary-algorithms partitioning hypergraph-partitioning algorithm-engineering graph-partitioning hypergraph hypergraphs papers-with-code
EasyGraph is an open-source network analysis library designed to cover advanced network processing methods. It includes functionalities for detecting structural hole spanners, network embedding, and various classic network analysis techniques.
[NeurIPS 2025] Official resources of "HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation".
Hypergraph is a data structure library to create a directed hypergraph in which a hyperedge can join any number of vertices.
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
graph awesome-list hypergraph graph-neural-network higher-order-graph hypergraph-neural-network hypergraph-theory
"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Shihui Ying, Xingliang Hou, Shiquan Liu, Mingyuan Yang, Junchang Li, Shaoyi Du, Nanning Zheng, Han Hu, and Yue Gao.
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.
graph-algorithms graphs parallel-computing partitioning-algorithms high-performance-computing partitioning shared-memory tbb hypergraph-partitioning algorithm-engineering graph-partitioning hypergraph hypergraphs
HypergraphZ – directed hypergraph library in Zig with Python bindings
python graph graph-algorithms zig graph-theory hypergraph ziglang pipy zig-library zig-package pipy-package
The source code of IEEE TPAMI 2025 "Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation".
Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph
A performant, parallel, probabilistic, random acyclic-graph, low-latency, perfect hash generation library.
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