Graph Retrieval-Augmented Generation: A Survey

Cited by (207)

Items 101–200 of 207

1. Self-Supervised Similar Community Search Based on Graph Matching Network
   Runhuai Chen, Yuxiang Wang, Tianxing Wu, Zhiyuan Yu, Xiaoliang Xu, Xiangyu Ke, Yuanshi Zheng · 2026 · IEEE Transactions on Knowledge and Data Engineering
2. Robustness Evaluation of Graph-RAG Systems: Compound Defect Masking Effects
   Shuai Yan, Yuhang Wu, Shan He · 2026 · International Symposium on Computer Technology and Information Science (ISCTIS)
3. Parent-Seeding Pheromone-Guided Subgraph Extraction for Clinical Question Answering Over FHIR Knowledge Graphs
   Cristian Cola, Cristinel Costea, Honoriu Vălean · 2026 · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
4. GNN-Enhanced RAG: Structured Retrieval via Neural Graph Traversal for Knowledge-Augmented Generation
   Kaung Htut, Bhupesh Kumar Mishra, Aarzoo Dhiman · 2026 · Communications in computer and information science
5. Highly personalized electricity pricing plan selection empowered by knowledge graph-enhanced large language models
   Qingquan Luo, Liang Minhang, Tao Yu, Zongyuan Chen, Wenlong Guo, Wencong Xiao, Zhenning Pan · 2026 · Advanced Engineering Informatics
6. A model-driven knowledge graph treatment for process-centric cyber threat mitigation
   Andrei Chiș, Ana-Maria Ghiran, Robert Andrei Buchmann · 2026 · Knowledge and Information Systems
7. Knowledge graphs and large language models: Construction paradigms, integration approaches, and emerging applications
   Qurratul Aine Syeda, Ravinder Reddy B · 2026 · Knowledge-Based Systems
8. Transient-RAG: Ephemeral Graph Topology for Dynamic Reasoning
   Linquan Wu, H Q Yang, Shaochao Lin, Jacky Keung · 2026 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
9. Evidence access design for llm-based scientometrics: graph-based evidence augmentation over semantic retrieval
   Yunseop Lee, Minseok Hur, Moohong Min · 2026 · Scientometrics
10. Artificial intelligence for piping and instrumentation diagrams: a review and perspective
    Jifei Ma, Wenjie Peng, Yaoyu Pan, Xiaoshuai Yuan, Jibin Zhou, Tao Zhang, Mao Ye, Zhongmin Liu · 2026 · ENGINEERING Chemical Engineering
11. KGMem-RAG: Knowledge Graph Enhanced Memory Retrieval-Augmented Generation for Educational Question Answering
    Yilan Gu, Jiali Bian · 2026 · Lecture notes in computer science
12. Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
    Tianzhe Zhao, Jiaoyan Chen, Shuxiu Zhang, Haiping Zhu, Qika Lin, Jun Liu · 2026 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
13. StAR: Adaptive Structure-Aware Reranking for Semantic–Structural Alignment in GraphRAG
    Junghyun Oh, Sungsu Lim · 2026 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
14. SAGE: Student-Focused Adaptive Guidance Engine for Intelligent Tutoring with Regulated Learning
    Mahady Hasan Rayhan, Gabriel R. Edwards, Ashish Pandey, Vani Seth, Nilesh Salvi, Noah J. Glaser, Maria Chrysochoou, Prasad P. Calyam · 2026 · IEEE International Conference on Human-Machine Systems (ICHMS)
15. Agent-GRAFT: Agent-Driven Dynamic Graph Repair for Multi-Hop Question Answering Over Fragmented Knowledge Graphs
    Baosheng Yin, Baosheng Yin · 2026 · Lecture notes in computer science
16. SCPatcher: Automated Smart Contract Code Repair via Retrieval-Augmented Generation and Knowledge Graph
    Xiaoqi Li, S. Ye, Wenkai Li, Zongwei Li · 2026 · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
17. Strategic Knowledge-Driven Deep Decision Network
    Ke Mu, Zhiling Wang, Jing Shi, Wenxia Han, Huizhen Long · 2026 · Journal of Organizational and End User Computing
18. Integrating Large Language Models and Knowledge Graphs: A Systematic Review
    Rime Essalmani, Ibtissam Youb, Mohamed Hamlich, Mourad Oussalah · 2026 · International Conference on Intelligent Systems and Digital Applications (ISDA)
19. Rule-constrained large language models for ship collision liability with lightweight knowledge graph refinement
    Jinhao Wu, Langxiong Gan, Xiyu Zhang, Yaqing Shu · 2026 · SSRN Electronic Journal
20. An LLM and Knowledge-Graph Based Escalation Engine for Root-Cause Analysis in Advanced Robotics Systems
    Nikhil Mallala, Amar Sharma · 2026 · International Conference on Intelligent Technologies (CONIT)
21. Knowledge Organization of Local Standards Using LLMs and Knowledge Graphs
    Luhao Zhu, Safawi Abdul Rahman, Hazila Timan · 2026 · International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA)
22. Feasibility of LLM-Augmented VR Micro-Coaching for Children with ADHD
    Ho Yan Kwan · 2026 · International Conference on Computer and Communication Systems (ICCCS)
23. RACPR: Generative AI-Enhanced Risk-Aware Causal Path Re-Ranking for Interpretable Multimorbidity Risk Identification in Elderly Health Consultation Scenarios
    Shaofu Lin, Shaojie Wang, Zhisheng Huang, Haoru Su · 2026 · Big Data and Cognitive Computing
24. Temporal-spatial reasoning over hypergraph knowledge structures for multimodal retrieval-augmented generation
    Timothy Dillan, Sani Muhamad Isa, Abba Suganda Girsang, Derwin Suhartono · 2026 · Scientific Reports
25. Large language model-assisted knowledge graph construction for catalytic systems: Challenges and practical insights
    Dongqing Shi, Zehua Chen, Kai Song, You Han · 2026 · Chinese Journal of Chemical Engineering
26. BIM-GRASP: A Graph-RAG Approach for Semantic Parsing of IFC Building Models
    Hadeel Saadany, Sima Iranmanesh, Malik U. Mehmood, Edlira Vakaj, Eddie Kassaei · 2026 · IEEE Access
27. Hyperbolic Embeddings Improve Narrative Quality in Retrieval Augmented Generation Models
    Mayukh Debnath, Ankita Shukla · 2026 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
28. Retrieval-augmented generation in marketing: an integrative literature review of architectures, applications and strategic implications
    Mayemba K. Nzita, Marius Wait · 2026 · Journal of Research in Interactive Marketing
29. From Cloud to Crowd: Democratizing LLM Service With Decentralized Edge Collaboration for RAG
    Jiaxing Li, Heng-Zhi Wang, Feng Wang, Chi Xu, Dan-Yang Song, Rui-Xiao Zhang, E. Ngai, Jiang-Chuan Liu · 2026 · IEEE Transactions on Mobile Computing
30. KGA-LM: Representation-Level Grounding for Conversational Search over Knowledge Graphs
    Yunfei Li, Chengfei Liu A, Rui Hong Zhou, Zhiyu Xu, Siyu Zhang, Jin Wei · 2026 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
31. PYTHIA: Universal Question Answering over Knowledge Graphs
    Sergios-Anestis Kefalidis, Konstantinos Plas, Manolis Koubarakis · 2026 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
32. Improving Factual Grounding in Text-Image Plant Disease Diagnosis Using Multimodal Graph-Enhanced RAG
    Nurul Sharefa Haneem Shahri, Nurul Amelina Nasharuddin · 2026 · Communications in computer and information science
33. Nodule-AFM: An Intelligent Multi-Agent Large Language Model System for Personalized Active Follow-up Management of Patients with Pulmonary Nodules: Development and Feasibility Evaluation (Preprint)
    Dahai Liu, Chaofeng Yang, Wen Deng, Meiling Gu, Wenxiao Li, Yibin Li, Zhenyu Ren, Xing Lv · 2026
34. Explainable Customer Feedback Analysis Using Graph-Based Orchestration and Emotion-Aware LLM Reasoning
    Pavan Kumar Chennupati, Vijaya Sai Vignesh Varanasi, Shaik Fakruddin, Eswar Aditya Yarlagadda, J. Rama Devi, B. Manasa · 2026 · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON)
35. GalaxyRAG: Graph Retrieval-Augmented Generation for Enterprise Knowledge Systems
    Bing Tong, Yan Zhou, Chen Zhang, Zhaojie Yin, Jia Li · 2026 · IEEE International Conference on Data Engineering (ICDE)
36. Recovering Structure in Unstructured LLM Outputs
    Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta · 2026 · IEEE International Conference on Data Engineering (ICDE)
37. A Controlled Comparative Study of RAG and KG-RAG for Explainable Asset Maintenance Recommendations
    Raden Daffa Firasyan Adikusumah, Sinung Suakanto, Ekky Novriza Alam, Edi Triono Nuryatno · 2026 · International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)
38. Clue-RAG: Towards Accurate and Cost-Efficient Graph-Based RAG Via Multi-Partite Graph-Based Index
    YaoDong Su, Yixiang Fang, Yingli Zhou, Chuanhui Yang · 2026 · IEEE International Conference on Data Engineering (ICDE)
39. Evidence-Constrained Multi-Agent GraphRAG for Traceable Power Equipment Incident Analysis
    Yizhan Feng, Runhe Zhang, Tongyan Xiong, Yuyang Wang, Tian Wang, Jing Teng, Xinhua Zeng · 2026 · SSRN Electronic Journal
40. Retrieval-Augmented Generation (RAG) System for Interactive Video Understanding and Summarization
    A Sandeep Reddy, E.Krishnahari · 2026 · International Conference on Smart Systems and Inventive Technology (ICSSIT)
41. From perception to governance: Knowledge-enhanced intelligence for smart sustainable buildings
    Shuangxue Liu, Hongbin Xie, Yuzhen Lei, Jiaxing Zhao, Jiaxue Liu, Ge Song, Liyu Zhang, Weiyao Yang, Xuan Song, Haoran Zhang · 2026 · Energy and Buildings
42. AdaRAG: Budget-Aware Adaptive Retrieval-Augmented Generation via Hierarchical Reinforcement Learning
    Jianan Sun, Miao Zhang, Chen Chen, Hao Wei, Lujia Yin, Chuan Ai, Banghu Yin · 2026 · IEEE International Conference on Joint Cloud Computing (JCC)
43. Signal-Adaptive Retrieval for Domain QA: Design, Deployment, and Evaluation — Traditional Chinese Bible QA as an Example
    Ko-Han Chung, Yoke-Hou Tan · 2026 · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
44. Intelligent Researcher Recommendation Based on Hybrid GraphRAG and Semantic Knowledge Graph Fusion
    Xiangmao Kong, Yuxi Liu, 王体朋, Kesheng Zhao, Xue Yu, Hailiang Yu, Mao Yanfang, Zhuang Zhao · 2026 · International Conference on Electronics and Communication, Network and Computer Technology (ECNCT)
45. Improving GraphRAG with Multi-hop Knowledge Graph Completion on the Example of the Telecommunications Domain
    A.O. Golovin, Nataly A. Zhukova, Tianxing Man · 2026 · Machine Learning
46. Evidence-Informed Occupational Therapy Decision Support Using Graph Retrieval-Augmented Generation
    Ichiro Kutsuna, Naoki Tomiyama, Akira Masuo, Kyosuke Yorozuya, Shinya Onda, Aiko Hoshino · 2026 · OTJR Occupational Therapy Journal of Research
47. Edge-AdaptiveKG: Resource-Efficient Knowledge Graph Construction for RAG on Edge Devices
    Yuxin Du, Juxin Niu, Chun Jason Xue, Nan Guan · 2026 · IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
48. Machine Common Sense: A Grand Challenge in Artificial Intelligence
    Mayank Kejriwal · 2026 · ACM eBooks
49. A New Science of MCS
    Mayank Kejriwal · 2026 · ACM eBooks
50. Commonsense Knowledge versus Reasoning
    Mayank Kejriwal · 2026 · ACM eBooks
51. Outlook
    Mayank Kejriwal · 2026 · ACM eBooks
52. BPACC: A Business Process Aware Architecture for Intent-Based Orchestration Across the Compute Continuum
    Elimane Yassine Seidou, Jeremy Mechouche, Walid Gaaloul · 2026 · IEEE International Conference on Software Services Engineering (SSE)
53. LLM-NSMA: An Intelligent Monitoring and Analysis Framework for Kubernetes-Based Edge Network Services
    Hsuan-Chen Lin, Jhe-Heng Lin, Hojjat Baghban, Markus Goetz · 2026 · International Conference on Computer Communication and the Internet (ICCCI)
54. Testing AI for Common Sense
    Mayank Kejriwal · 2026 · ACM eBooks
55. Preface
    2026 · ACM eBooks
56. Multi-disciplinary Perspectives on Defining Common Sense
    Mayank Kejriwal · 2026 · ACM eBooks
57. Author’s Biography/Index
    2026 · ACM eBooks
58. Common Sense in Large Language Models
    Mayank Kejriwal · 2026 · ACM eBooks
59. Acronyms
    Mayank Kejriwal · 2026 · ACM eBooks
60. Bootstrapping Methodological Governance: A Deterministic Framework for Validating Public Health Data Analysis
    Xiaoming Guo, Shenglin Li, Connor Kulawiak, Fabricio Gutierrez Juarez, Jiaqi Gong · 2026 · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies
61. Leveraging Architectural Context in LLM-based Access Control Policy Generation for Microservices
    Can Önal, Marco Tonnarelli, Indika Kumara, Damian A. Tamburri, Willem‐Jan van den Heuvel · 2026 · IEEE International Conference on Software Services Engineering (SSE)
62. Bibliography
    2026 · ACM eBooks
63. Appendix A
    Mayank Kejriwal · 2026 · ACM eBooks
64. Using large language models for legal decision-making in Austrian value-added tax law: a comparative study
    Marina Luketina, Andrea Benkel, Christoph G. Schuetz · 2026 · Journal of Business Analytics
65. Multi-Strategy RAG With ATT&CK STIX Metadata-Enriched Embeddings for Technique Extraction
    Jimin Lee, Keunho Kim, Kwonmoo You, Chang-Hee Choi · 2026 · IEEE Access
66. Growth Decision Agent Based on Graph Retrieval Enhancement
    Lin Yuan · 2026 · International Conference on Cyber Security, Artificial Intelligence and Digital Economy (CSAIDE)
67. GCF-RAG: Graph context fusion-based RAG framework for industrial equipment operation and maintenance
    Chengxuan Ge, Xiaobin Xu, Lingjun Dong, Zibo Zhang, Hao Li, Hong HE · 2026 · Advanced Engineering Informatics
68. LightRAG empowered multi-objective optimization framework for process parameter control in polyester fiber polymerization
    Cheng Li, Zheng Shu, Peng Zhang, Pengfei Ding, Jie Zhang · 2026 · Journal of Intelligent Manufacturing
69. FlowRAG: Control-Flow-Guided Retrieval-Augmented Generation for Service Operating Procedures
    Congcong Tian, Zhongjie Wang, Mingyi Liu, Zhihui Xu, Xinyang Chen, Xingya Zhang, Haitao Zhao, Shuang Yu · 2026 · IEEE International Conference on Web Services (ICWS)
70. Toward Effective Resource Prediction for Microservices via Heterogeneity Exploration Fully Investigating Services, Containers, and Nodes
    Yueshen Xu, Haibin Han, Shaoling Liang, Junxiao Han, Chen Zhi, Zhongxiao Wang, Huihui Tang, Jiahao Wang · 2026 · IEEE International Conference on Web Services (ICWS)
71. Smart contracts and AI agents for secure last-mile pharmaceutical delivery through crowdsourcing
    Kadim Lahcen Nadime, Doha Haidar, Rajaa Benabbou, Jamal Benhra · 2026 · Discover Artificial Intelligence
72. Decoupling Error Attribution in Cloud-Native Graph-RAG: A Data Integrity Diagnostic Framework
    Shuai Yan, Yuhang Wu, Xiaodong Huang, Ke Wang · 2026 · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
73. Knowledge Graphs for Railway Accident Profiling: Research and Applications
    Xiaoqin Lian, Zijie Wang, Haoyang Yuan, Chao Gao, Zhibo Cheng, Yanhua Wu, Guangjing Zheng · 2026 · Applied Sciences
74. $$\text {S}^2$$-RAG: Decoupled Semantic and Structural Indexing for Long-Document Retrieval-Augmented Generation
    Jianing Yang, Guojie Liu, Yiqi Wang, Songlei Jian, Jianfeng Zhang, Shuang Tan, Bao Li · 2026 · Lecture notes in computer science
75. Generative AI-Driven Intelligent Service Model for Information Management Systems and Its Application Research
    Shuhui Wang, Xiaochen Jia · 2026 · International Conference on Digital Society and Artificial Intelligence (DSAI)
76. A Neuro-Symbolic Hybrid Framework for Automated P&ID Auditing: Integrating Graph Neural Networks with Knowledge-Grounded RAG for Human-in-the-Loop Safety Verification
    Rohit Shinde, Ankit Maheshbhai Chachad, Snehal S. Bhosale · 2026 · ACS Chemical Health & Safety
77. Graph-Verified Bootstrapping for Multi-Hop Knowledge Reasoning
    Junlin Zhang, Runhao Zhao, Zijie Wu, Chao Jiang, Yuhan Wang, 汤培亮, Weidong Xiao · 2026 · International Conference on Big Data and Information Analytics (BigDIA)
78. Retrieval-Augmented Generation Based on Multi-Document Heterogeneous Structure Graphs
    培仁 师 · 2026 · Computer Science and Application
79. RegIntel-X: A Hybrid GraphRAG Framework for Proactive Compliance Simulation and Counterfactual Attribution
    V. Srilakshmi, B VeeraSekhar Reddy, Md. Shahid Khan, N. Vinay Sai Kalyan, G Uday Kiran, M. Mounika · 2026 · International Conference on Electronics and Sustainable Communication Systems (ICESC)
80. Dynamic Knowledge Graph Construction from Multi-Source Heterogeneous Data for RAG-Based Vertical Domain Question Answering
    Lei Huang, Qian Cui, Lindong Yu, Jiaqi Dai · 2026 · International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)
81. Dynamic Graph Retrieval-Augmented Reasoning via Query Drift-Aware Uncertainty Estimation
    Hongjie Zhao, Xiaochuan Jing, Qingyang Deng · 2026 · International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)
82. Token Write Amplification in LLM-Mediated State Stores
    Shijun Yang, Shuheng Gao, Chaomei Yan, Guoli Wei, Yongkun Li · 2026 · ACM Workshop on Hot Topics in Storage and File Systems (HotStorage)
83. Enduring Strengths of Knowledge-Based Methods in the Era of Machine Learning and Large Language Models: A Task-and-Architecture Perspective
    Maikel León · 2026 · WSEAS TRANSACTIONS on SYSTEMS archive
84. Enterprise Conversational AI with Retrieval-Augmented Generation: A CRM Case Study
    Martin Sasinka, Martin Kotyrba, Eva Volná, Martin Pavlíček · 2026 · Acta Informatica Pragensia
85. From vector search to metadata-aware retrieval: progressive refinement of RAG for water treatment guidance
    Yasmine El Moussaoui, Mehdi Adda · 2026 · Procedia Computer Science
86. TCM-HyperRAG: higher-order knowledge hypergraphs for disease diagnosis and prescription recommendation in traditional Chinese medicine
    Weilin Chen, Shaoqiang Ye, Hui Zhou, Diwen Kang, Lihua Qin, Kaiqing Zhou · 2026 · Digital Chinese Medicine
87. Bridging semantic and physical spaces: Paradigms and mechanisms of spatio-temporal large language models in transportation and urban computing
    Junjie Fan, Jiayu Rao, Linduo Wei, Guijia Li, Jiaxin Yuan, Yong Qi · 2026 · Expert Systems with Applications
88. CatKV: Accelerating Position-Independent Caching with Context-Adaptive KV Cache Compression
    Jie Xu, Renjie Liu, Yi Li, Bo Tang · 2026 · Proceedings of the ACM on Management of Data
89. Analysis of Graph RAG and Vector RAG Approaches for Optimizing Retrieval-Augmented Generation on JSON Data
    Yasir Maarif, Entin Martiana Kusumaningtyas, Ahmad Syauqi Ahsan, Mu’arifin · 2026 · International Electronics Symposium (IES)
90. A Comprehensive Study of Graph Neural Networks: Types and Application
    Rahul Dubey, Ramandeep Kaur, Nidhi Ahuja · 2026 · Expert Systems
91. Hybrid Retrieval-Augmented Generation for Chest-Pain Differential Diagnosis: Recall Gains and Calibration Costs
    Chinguun Bold, Rao Faizan, Cam-Hao Hua, Sun Moo Kang, Sungyoung Lee, Seong Tae Kim · 2026 · International Conference on Advanced Network Technologies and Applications (APAN)
92. Intelligent Comparison and Conflict Detection Technology for Power Industry Policy Documents Based on Multi-Model Collaboration
    Yuetian Huang, Yongjiao Yang, Jiaxin Lin, Ruiqi Li, Qing Lu, Zeqi Zhu · 2026 · International Conference on Computer Science and Blockchain (CCSB)
93. DRoG: Distance-Aware Retrieval and Dual-Role Reasoning on Graphs for Large Language Models
    Jingyu Zhang, Zhijie Zhu, Wen Li, Liqiang Xie, REN Bangbang · 2026 · Lecture notes in computer science
94. Large language models meet graph neural networks: A survey
    Panpan Zhou, Haowei Zhu, Liwei Li, Yan Liang, Kaibing Yin, Lixiang Xu, Mingru Lei, Yuhua Chen · 2026 · Neurocomputing
95. GroundSTory: Interactive Storytelling for Grounded Spatiotemporal Anomaly Explanations with Graphs and Large Language Models
    Juanpablo Heredia, Leighton Leandro Estrada-Rayme, Jeremy Matos-Cangalaya, Jorge Poco · 2026 · ACM Transactions on Intelligent Systems and Technology
96. MixRAG: a Low-cost alternative to a Graph RAG for scientific papers
    Luis Cesar de Azevedo, ARTHUR CÉSAR MACHADO, Ronaldo Cristiano Prati · 2026
97. Generative AI Driven Hybrid Vision-Language and Property Graph Pipeline for Reliable Information Retrieval
    Aakarsh Etar, Steven Valle, Jayesh Soni, Himanshu Upadhyay · 2026 · Communications in computer and information science
98. Needle in a Knowledge Graph: Generating Scalable Long-Context Benchmarks for KG Question Answering
    Jakob Sturm, Lukas Ellinger, André Luckow, Georg Groh · 2026 · Lecture notes in computer science
99. Ontology-Enriched GraphRAG: A Case Study in Portuguese Geoscience Question Answering
    Tiago Rios da Rocha, Joao Cesar Netto, Karin Becker · 2026 · Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe)
100. A study on hybrid graph neural network-based approach for link prediction
     Shani Verma, Naresh Kumar Nagwani, Sonal Yadav · 2026 · Data Technologies and Applications