mlsanityData to 14 Oct 2026

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation

arXiv 2503.21322 ↗First posted 27 Mar 2025cs.AIcited by 68

On the map: Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG

Abstract (arXiv)

Standard Retrieval-Augmented Generation (RAG) relies on chunk-based retrieval, whereas GraphRAG advances this approach by graph-based knowledge representation. However, existing graph-based RAG approaches are constrained by binary relations, as each edge in an ordinary graph connects only two entities, limiting their ability to represent the n-ary relations (n >= 2) in real-world knowledge. In this work, we propose HyperGraphRAG, a novel hypergraph-based RAG method that represents n-ary relational facts via hyperedges, and consists of knowledge hypergraph construction, retrieval, and generation. Experiments across medicine, agriculture, computer science, and law demonstrate that HyperGraphRAG outperforms both standard RAG and previous graph-based RAG methods in answer accuracy, retrieval efficiency, and generation quality. Our data and code are publicly available at https://github.com/LHRLAB/HyperGraphRAG.

Key facts. Cited by 68 papers in the map (data through 14 Oct 2026). Placed in Knowledge-graph and structured-knowledge RAG, one of 15 directions in Retrieval-augmented generation. Builds on 12 of its 23 references that are in the map. First posted on arXiv 27 Mar 2025.

Builds on

12 of 23 references.

References · 12

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2023A Survey of Large Language Modelscited by 2,576
  3. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 668
  4. 2023Ragas: Automated Evaluation of Retrieval Augmented Generationcited by 418
  5. 2024FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Researchcited by 166
  6. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  7. 2020Message Passing for Hyper-Relational Knowledge Graphscited by 79
  8. 2016On the representation and embedding of knowledge bases beyond binary relationscited by 55
  9. 2020Generalizing Tensor Decomposition for N-ary Relational Knowledge Basescited by 38
  10. 2021Link Prediction on N-ary Relational Facts: A Graph-based Approachcited by 29
  11. 2023Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Constructioncited by 11
  12. 2023HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Levelcited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 21; 2026: 47.

68 papers.

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  1. 2025Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learningcited by 52
  2. 2026Graph-based Agent Memory: Taxonomy, Techniques, and Applicationscited by 25
  3. 2026Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledgecited by 14
  4. 2025Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrievalcited by 10
  5. 2025Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learningcited by 10
  6. 2025Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generationcited by 9
  7. 2026AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rolloutscited by 9
  8. 2025Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level Reasoningcited by 8
  9. 2026HyperSkill: Self-Evolving LLM Agents via Hypergraph-Structured Skill Memorycited by 7
  10. 2025Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinkingcited by 6
  11. 2025Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrievalcited by 6
  12. 2025Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learningcited by 5
38 more
  1. 2025MARAG-R1: Beyond Single Retriever via Reinforcement-Learned Multi-Tool Agentic Retrievalcited by 5
  2. 2025Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answeringcited by 4
  3. 2025LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligencecited by 4
  4. 2025GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generationcited by 3
  5. 2025KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answeringcited by 3
  6. 2026HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAGcited by 3
  7. 2026RippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent Memorycited by 3
  8. 2025How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAGcited by 2
  9. 2025Structure-Augmented Reasoning Generationcited by 2
  10. 2025PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generationcited by 2
  11. 2026Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decodingcited by 2
  12. 2026GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoningcited by 2
  13. 2026TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generationcited by 2
  14. 2026NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Modelscited by 2
  15. 2026OMD-GraphRAG: Enhancing GraphRAG with Ontology-Guided Extraction, Multi-Dimensional Clustering and Dual-Channel Fusioncited by 2
  16. 2026Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Modelscited by 2
  17. 2026EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrievalcited by 2
  18. 2026HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answeringcited by 2
  19. 2025Reasoning with RAGged events: RAG-Enhanced Event Knowledge Base Construction and reasoning with proof-assistantscited by 1
  20. 2025EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generationcited by 1
  21. 2025Multi-hop Reasoning via Early Knowledge Alignmentcited by 1
  22. 2026HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generationcited by 1
  23. 2026HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAGcited by 1
  24. 2026GraphRAG-Router: Learning Cost-Efficient Routing over GraphRAGs and LLMs with Reinforcement Learningcited by 1
  25. 2026AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answeringcited by 1
  26. 2026SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedgescited by 1
  27. 2025GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Frameworkcited by 0
  28. 2025OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learningcited by 0
  29. 2026A Navigational Approach for Comprehensive RAG via Traversal over Proposition Graphscited by 0
  30. 2026RAG without Forgetting: Continual Query-Infused Key Memorycited by 0
  31. 2026MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrievalcited by 0
  32. 2026Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generationcited by 0
  33. 2026NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisiscited by 0
  34. 2026OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agentscited by 0
  35. 2026AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interactioncited by 0
  36. 2026The Equivalence Theorem: First-Class Relationships for Structurally Complete Database Systemscited by 0
  37. 2026Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithmcited by 0
  38. 2026AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generationcited by 0

50 most cited of 68 All 68 (JSON)

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  1. 2025Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG
  2. 2025When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
  3. 2024Graph Retrieval-Augmented Generation: A Survey
  4. 2025NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
  5. 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
  6. 2025LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
  7. 2024Retrieval-Augmented Generation with Graphs (GraphRAG)
  8. 2026FlexStructRAG: Flexible Structure-Aware Multi-Granular Relational Retrieval for RAG