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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Updated
Sep 29, 2026 - Python
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
Hypergraph Neural Networks (AAAI 2019)
Python package for hypergraph analysis and visualization.
[ICML 2026] Official resources of "Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning".
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".
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
"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.
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
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
Hypergraph Database with Hypergraph Visualization.
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
Implementation of the IJCV 2026 paper "SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition".
[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
The source code of ICLR 2025 "Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?"
Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
[NeurIPS 2024] Official resources of "Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction".
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
A higher-order computing system
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