Graph Retrieval-Augmented Generation

Also known as GraphRAG

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Overview

Graph Retrieval-Augmented Generation studies how to use entities, relations, and document structure to help language models find and combine relevant evidence. Systems build knowledge graphs or hypergraphs from documents, then retrieve evidence through paths, graph traversal, community summaries, or hybrid graph-and-vector search; some use agents to plan and verify multi-step retrieval. The methods are tested on knowledge-graph and multi-hop question answering, long-document tasks, and specialized settings such as medicine, law, and engineering, where traceable evidence can improve factuality. A central tension is whether richer graph structure improves answers enough to justify its construction and retrieval costs: performance depends on graph quality and query type, and more retrieved context does not always yield better answers.

Latest papers

CardsList

232 papers19 papers in the last four weeks, down 21% on the four weeks before. 0.1% of all new papers.

  1. MG2^2-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation

    Apr 4, 2026Sijun Dai, Qiang Huang, Xiaoxing You +1Cross-Modal LearningMultimodal RAG

    School of Intelligence Science and Engineering, Harbin Institute of Technology (Shenzhen) · School of Computer Science, Hangzhou Dianzi University

  2. Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation

    Apr 3, 2026Prakhar Bansal, Shivangi AgarwalKnowledge Augmentation for Language ModelsRetrieval-Augmented Generation

  3. Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG

    Apr 3, 2026Jaafer Klila, Sondes Bannour Souihi, Rahma Boujelben +2Knowledge Augmentation for Language ModelsContinued Pretraining

    Université Paris-Saclay, CEA, List Palaiseau, France · University of Sfax Sfax, Tunisia

  4. LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation

    Apr 3, 2026Yilin Xiao, Jin Chen, Qinggang Zhang +6RAG Poisoning AttacksRAG Security

    The Hong Kong Polytechnic University · Southwestern University of Finance and Economics

  5. Competency Questions as Executable Plans: a Controlled RAG Architecture for Cultural Heritage Storytelling

    Apr 2, 2026Naga Sowjanya Barla, Jacopo de BerardinisGrounded Text GenerationGraph Retrieval-Augmented Generation

    School of Computer Science and Informatics, University of Liverpool, Brownlow Hill, Liverpool, L69 7ZX, United Kingdom

  6. Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

    Apr 1, 2026Dongzhe Fan, Zheyi Xue, Siyuan Liu +1Graph Retrieval-Augmented GenerationRAG Evaluation

    New York University Shanghai, Shanghai, China

  7. GraphRAG-Router: Learning Cost-Efficient Routing over GraphRAGs and LLMs with Reinforcement Learning

    Mar 31, 2026Dongzhe Fan, Chuanhao Ji, Zimu Wang +2LLM RoutingGraph Retrieval-Augmented Generation

    Department of Computer Science, New York University (Shanghai) · Department of Computer Science, University of Liverpool

  8. GAAMA: Graph Augmented Associative Memory for Agents

    Mar 29, 2026Swarna Kamal Paul, Shubhendu Sharma, Nitin SareenGraph-Based Agent MemoryLong-Term Conversational Memory

    Nagarro

  9. OMD-GraphRAG: Enhancing GraphRAG with Ontology-Guided Extraction, Multi-Dimensional Clustering and Dual-Channel Fusion

    Mar 26, 2026Jie Wang, Honghua Huang, Xi Ge +3Ontology-Guided Information ExtractionGraph Retrieval-Augmented Generation

    Data Science & Artificial Intelligence Research Institute, China Unicom

  10. Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

    Mar 23, 2026Pouria Mortezaagha, Arya RahgozarRetrieval-Augmented GenerationBiomedical IR

    Methodological Implementation Research, Ottawa Hospital Research Institute, Ottawa, ON, Canada · School of Engineering Design and Teaching Innovation, University of Ottawa, Ottawa, ON, Canada

  11. GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs

    Mar 23, 2026Achmad Anggawirya Alimin, Artur M. SchweidtmannGraph Retrieval-Augmented GenerationAgentic RAG

    Process Intelligence Research Group, Department of Chemical Engineering, Delft University of Technology

  12. Mixture of Demonstrations for Textual Graph Understanding and Question Answering

    Mar 23, 2026Yukun Wu, Lihui LiuGraph Retrieval-Augmented GenerationRetrieval-Augmented Generation

    Wayne State University

  13. Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces

    Mar 21, 2026Manie Tadayon, Mayank GuptaGraph Retrieval-Augmented GenerationGraph-Based Retrieval

    AI Scientist, Capital Group

  14. LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG

    Mar 16, 2026Xiao Yue, Guangzhi Qu, Lige GanGraph Retrieval-Augmented GenerationGraph-Based Retrieval

    Oakland University, Rochester Hills, MI 48309, USA

  15. The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QA

    Mar 14, 2026Yasaman Zarrinkia, Venkatesh Srinivasan, Alex ThomoStructured CoT ReasoningGraph Retrieval-Augmented Generation

    University of Victoria · Santa Clara University

  16. Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs

    Mar 14, 2026Hang Gao, Dimitris N. MetaxasGraph Retrieval-Augmented GenerationGraph-Based Retrieval

    Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA.

  17. KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation

    Mar 12, 2026Qizhi Chen, Chao Qi, Yihong Huang +5RAG Poisoning AttacksData Poisoning Attacks

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China · Institute of Intelligent Computing, University of Electronic Science and Technology of China, Chengdu, China · School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China +1

  18. MDER-DR: Multi-Hop Question Answering with Entity-Centric Summaries

    Mar 11, 2026Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici +2Multi-Hop QAKnowledge Graph Question Answering

    Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

  19. Structured Linked Data as a Memory Layer for Agent-Orchestrated Retrieval

    Mar 11, 2026Andrea Volpini, Elie Raad, Beatrice Gamba +1Structured RAGRetrieval-Augmented Generation

    WordLift, Rome, Italy

  20. Explainable Innovation Engine: Dual-Tree Agent-RAG with Methods-as-Nodes and Verifiable Write-Back

    Mar 10, 2026Renwei MengAgentic RAGRetrieval-Augmented Generation

    Anhui University, Hefei, China

  21. KCoEvo: A Knowledge Graph Augmented Framework for Evolutionary Code Generation

    Mar 8, 2026Jiazhen Kang, Yuchen Lu, Chen Jiang +6Code GenerationGraph Retrieval-Augmented Generation

    Southeast University, Nanjing, China · ByteDance Ltd., China · Monash University, Melbourne, Australia

  22. The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI

    Mar 6, 2026Giovanni Servedio, Potito Aghilar, Alessio Mattiace +6Personal AI AgentsNeuro-Symbolic Reasoning

    Politecnico di Bari · Universit`a degli Studi della Tuscia

  23. Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis

    Mar 5, 2026Hazem Amamou, Stéphane Gagnon, Alan Davoust +1RAG RobustnessGraph Retrieval-Augmented Generation

    Institut national de la recherche scientifique (INRS-EMT), Montréal, Québec, Canada · INRS-UQO Mixed Research Unit on Cybersecurity, Gatineau, Québec, Canada · Université du Québec en Outaouais, Gatineau, Québec, Canada

  24. S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering

    Mar 5, 2026Rong Fu, Yemin Wang, Tianxiang Xu +5Knowledge Graph Question AnsweringMulti-Hop QA

    University of Macau · Xiamen University · Peking University +3

  25. Core-based Hierarchies for Efficient GraphRAG

    Mar 5, 2026Jakir Hossain, Ahmet Erdem SarıyüceGraph Retrieval-Augmented GenerationGraph-Based Retrieval

    University at Buffalo Buffalo, NY, USA · Amazon Web Services. This publication describes work performed at University at Buffalo, and is not associated with Amazon Web Services.

  26. Suppressing Domain-Specific Hallucination in Construction LLMs: A Knowledge Graph Foundation for GraphRAG and QLoRA on River and Sediment Control Technical Standards

    Mar 3, 2026Takato YasunoQuestion AnsweringGraph Retrieval-Augmented Generation

  27. KGiRAG: An Iterative GraphRAG Approach for Responding Sensemaking Queries

    Mar 2, 2026Isabela Iacob, Melisa Marian, Gheorghe Cosmin SilaghiIterative RAGRetrieval-Augmented Generation

    Babes-Bolyai University, Business Informatics Research Center, Cluj-Napoca, Romania

  28. GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning

    Mar 2, 2026Yuchen Ying, Weiqi Jiang, Tongya Zheng +4LLM Reasoning with GraphsAgentic RAG

    Zhejiang University, Hangzhou, China · Hangzhou City University, Hangzhou, China · Nanyang Technological University, Singapore, Singapore

  29. From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG

    Feb 28, 2026Yucheng Chu, Haoyu Han, Shen Dong +6Automated GradingEducational Assessment

    Michigan State University · University of Southern California

  30. MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval

    Feb 28, 2026Shuheng Chen, Namratha Patil, Haonan Pan +4Case-Based ReasoningClinical Decision Support

    University of Southern California