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. FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning

    May 2, 2026Zebin Guo, Weidong Geng, Ruichen MaoMultimodal RAGTable QA

    Georgia Institute of Technology Atlanta, Georgia, USA · Zhejiang University Hangzhou, Zhejiang, China · Zhejiang Lab Hangzhou, Zhejiang, China

  2. MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents

    May 2, 2026Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan +4Conversational MemoryGraph Retrieval-Augmented Generation

    1Independent Researcher · 2Hanoi University of Science and Technology · 3VNU University of Engineering and Technology +1

  3. CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering

    Apr 28, 2026Yushi Sun, Lei ChenRetrieval-Augmented GenerationGraph Retrieval-Augmented Generation

    HKUST Hong Kong, China · HKUST(GZ) / HKUST Guangzhou / Hong Kong, China

  4. XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation

    Apr 27, 2026Zhuoling Li, Ha Linh Hong Tran Nguyen, Valeria Bladinieres +1Retrieval-Augmented GenerationGraph Retrieval-Augmented Generation

    Berlin Technology Centre · Deutsche Bank

  5. ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection

    Apr 26, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuFinancial ServicesGraph Retrieval-Augmented Generation

    The University of Hong Kong · Stellaris AI Limited

  6. STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation

    Apr 24, 2026Peng Yu, En Xu, Bin Chen +2Graph Neural NetworksGraph Retrieval-Augmented Generation

    AI Product Center, Kingsoft Corporation, Beijing, China

  7. Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems

    Apr 22, 2026Pavel Salovskii, Iuliia GorshkovaKG ConstructionMemory-Augmented Language Models

    Partenit.io, San Francisco, CA, USA · Partenit.io San Francisco, CA, USA

  8. Structure Guided Retrieval-Augmented Generation for Factual Queries

    Apr 21, 2026Miao Xie, Xiao Zhang, Yi Li +1Graph Retrieval-Augmented GenerationFactual Knowledge in Language Models

    College of Information and Electrical Engineering, China Agricultural University, China · College of Computing and Data Science, Nanyang Technological University, Singapore · Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs, China

  9. Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees

    Apr 21, 2026Zhuoping Zhou, Davoud Ataee Tarzanagh, Sima Didari +7Multi-Hop QAGraph Retrieval-Augmented Generation

    Samsung SDS Research America, Mountain View, CA, USA

  10. The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content

    Apr 21, 2026Yuqi Zhang, Di ZhangRetrieval-Augmented GenerationSelf-Attention

    Xi’an Jiaotong-Liverpool University

  11. EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents

    Apr 20, 2026Paolo Riva, Leonardo Gargani, Matteo Frosi +1Graph Retrieval-Augmented GenerationEmbodied QA

    Department of Electronics, Information, and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy

  12. EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval

    Apr 19, 2026Yifan Song, Xingjian Tao, Zhicheng Yang +2Graph Retrieval-Augmented GenerationGraph-Based Retrieval

    1The Hong Kong University of Science and Technology (Guangzhou) · 2The Hong Kong University of Science and Technology

  13. RLM-on-KG: Heuristics First, LLMs When Needed: Adaptive Retrieval Control over Mention Graphs for Scattered Evidence

    Apr 18, 2026Andrea Volpini, Elie RaadMulti-Hop QALLM Reasoning with Graphs

    WordLift

  14. Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval

    Apr 17, 2026Hamed Jelodar, Samita Bai, Mohammad Meymani +3LLM Reasoning with GraphsGraph Retrieval-Augmented Generation

    Canadian Institute for Cybersecurity, Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 9W4, Canada

  15. TCAR-Gen: Temporal Graph Retrieval with Evidence Fusion for Knowledge-Grounded Generation

    Apr 15, 2026Sidra Nasir, Muhammad Noman Zahid, Rizwan Ahmed KhanGraph Retrieval-Augmented GenerationTemporal QA

    Dipartimento di Informatica, Università di Verona, Italy · School of Advanced Studies, University of Camerino, Italy · Department of Computer Science, School of Mathematics and Computer Science, Institute of Business Administration (IBA), Karachi, Pakistan

  16. Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis

    Apr 15, 2026Arthur Capozzi, Dirk HelbingKG ConstructionEntity Resolution

    Computational Social Science, ETH Zurich, Zurich, Switzerland · Complexity Science Hub, Vienna, Austria

  17. Knowledge Graph RAG: Agentic Crawling and Graph Construction in Enterprise Documents

    Apr 14, 2026Koushik Chakraborty, Koyel GuhaGraph Retrieval-Augmented GenerationKG Construction

    Google AI, Global Services Delivery

  18. Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models

    Apr 14, 2026Keshu Wu, Chenchen Kuai, Zihao Li +6Hypergraph-Based RAGRetrieval-Augmented Generation

    Texas A&M University · University of Illinois Urbana-Champaign · The University of Kansas

  19. DreamKG: A KG-Augmented Conversational System for People Experiencing Homelessness

    Apr 13, 2026Javad M Alizadeh, Genhui Zheng, Chiu C Tan +7Geospatial QAQuestion Answering

    Temple University, Philadelphia, USA · University of Texas at Austin, Austin, USA · University of California Riverside, Riverside, USA +1

  20. Beyond RAG for Cyber Threat Intelligence: A Systematic Evaluation of Graph-Based and Agentic Retrieval

    Apr 13, 2026Dzenan Hamzic, Florian Skopik, Max Landauer +2Graph Retrieval-Augmented GenerationRAG Evaluation

    AIT Austrian Institute of Technology, Austria · TU Wien, Austria

  21. CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning

    Apr 12, 2026Cheng-Yen Li, Xuanjun Chen, Claire Lin +4Retrieval-Augmented GenerationGraph Retrieval-Augmented Generation

    National Taiwan University, Taipei, Taiwan · NTU Artificial Intelligence Center of Research Excellence, National Taiwan University.

  22. STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation

    Apr 11, 2026Shuai Li, Chen Huang, Duanyu Feng +2Graph Retrieval-Augmented GenerationKnowledge Graph Question Answering

  23. Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data

    Apr 10, 2026Zhenyu Lu, Mahyar Abbasian, Amir M. RahmaniGraph Retrieval-Augmented GenerationGraph-Based Retrieval

    Carnegie Mellon University · University of California, Irvine

  24. Enhancing LLM Medical Coding with Structured External Knowledge

    Apr 9, 2026Yidong Gan, David D. Nguyen, Yang Lin +4Automated Medical CodingMedical LLMs

    Oracle Health and AI · The University of Sydney · CSIRO Data61

  25. PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context

    Apr 9, 2026Steven Au, Baihan LinPersonalized Text GenerationGraph Retrieval-Augmented Generation

    Icahn School of Medicine at Mount Sinai

  26. ROZA Graphs: Self-Improving Near-Deterministic RAG through Evidence-Centric Feedback

    Apr 8, 2026Matthew PenarozaRetrieval-Augmented GenerationGraph Retrieval-Augmented Generation

  27. Plasma GraphRAG: Physics-Grounded Parameter Selection for Gyrokinetic Simulations

    Apr 7, 2026Ruichen Zhang, Feda AlMuhisen, Chenguang Wan +6Graph Retrieval-Augmented GenerationPhysics-Based Simulation

    School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore · College of Computing and Data Science, Nanyang Technological University, Singapore · CEA, IRFM, F-13108 Saint Paul-lez-Durance, France

  28. DOTRAG: Retrieval-Time Reasoning Along Paths

    Apr 6, 2026Larnell Moore, Naihao Deng, Rada Mihalcea +1Graph Retrieval-Augmented GenerationGraph-Based Retrieval

    University of Michigan

  29. GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering

    Apr 6, 2026Tianyi Zhang, Andreas MarfurtQuestion AnsweringDocument QA

    getAbstract · Lucerne University of Applied Sciences and Arts Switzerland

  30. Towards Agentic Defect Reasoning: A Graph-Assisted Retrieval Framework for Laser Powder Bed Fusion

    Apr 5, 2026Muhammad Rizwan Awan, Volker Pickert, Muhammad Waqar Ashraf +3Additive ManufacturingGraph Retrieval-Augmented Generation

    Department of Electrical and Electronic Engineering, The Newcastle University · The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK