mlsanityData to 7 Oct 2026

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

arXiv 2501.02226 ↗First posted 4 Jan 2025cs.IRcited by 56

On the map: Retrieval-augmented generation → RAG for recommendation

Abstract (arXiv)

Recommender systems have become increasingly vital in our daily lives, helping to alleviate the problem of information overload across various user-oriented online services. The emergence of Large Language Models (LLMs) has yielded remarkable achievements, demonstrating their potential for the development of next-generation recommender systems. Despite these advancements, LLM-based recommender systems face inherent limitations stemming from their LLM backbones, particularly issues of hallucinations and the lack of up-to-date and domain-specific knowledge. Recently, Retrieval-Augmented Generation (RAG) has garnered significant attention for addressing these limitations by leveraging external knowledge sources to enhance the understanding and generation of LLMs. However, vanilla RAG methods often introduce noise and neglect structural relationships in knowledge, limiting their effectiveness in LLM-based recommendations. To address these limitations, we propose to retrieve high-quality and up-to-date structure information from the knowledge graph (KG) to augment recommendations. Specifically, our approach develops a retrieval-augmented framework, termed K-RagRec, that facilitates the recommendation generation process by incorporating structure information from the external KG. Extensive experiments have been conducted to demonstrate the effectiveness of our proposed method.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). Placed in RAG for recommendation, one of 15 directions in Retrieval-augmented generation. Builds on 35 of its 48 references that are in the map. First posted on arXiv 4 Jan 2025.

Builds on

35 of 48 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation11 Mar

Other references · 34

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2024The Llama 3 Herd of Modelscited by 14,192
  3. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  4. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  5. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  6. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  7. 2017Graph Attention Networkscited by 8,854
  8. 2017Inductive Representation Learning on Large Graphscited by 6,284
  9. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  10. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  11. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  12. 2024Qwen2 Technical Reportcited by 2,076
22 more
  1. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,800
  2. 2020LightGCN: Simplifying and Powering Graph Convolution Network for Recommendationcited by 1,134
  3. 2019Generalization through Memorization: Nearest Neighbor Language Modelscited by 788
  4. 2019Graph Neural Networks for Social Recommendationcited by 711
  5. 2023In-Context Retrieval-Augmented Language Modelscited by 694
  6. 2020Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificationcited by 500
  7. 2022Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)cited by 396
  8. 2020AmbigQA: Answering Ambiguous Open-domain Questionscited by 385
  9. 2023TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendationcited by 336
  10. 2023Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoningcited by 326
  11. 2023Recommender Systems in the Era of Large Language Models (LLMs)cited by 188
  12. 2023LLMRec: Large Language Models with Graph Augmentation for Recommendationcited by 171
  13. 2024GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningcited by 128
  14. 2023Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answeringcited by 119
  15. 2023AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systemscited by 116
  16. 2023CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendationcited by 99
  17. 2023Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answeringcited by 97
  18. 2023Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspectivecited by 91
  19. 2023Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answeringcited by 64
  20. 2024TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendationcited by 35
  21. 2024Graph Machine Learning in the Era of Large Language Models (LLMs)cited by 33
  22. 2024When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectivelycited by 20

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 28; 2026: 28.

56 papers.

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  1. 2025A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Modelscited by 87
  2. 2025Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMscited by 20
  3. 2025VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraftcited by 13
  4. 2025mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQAcited by 10
  5. 2025Align-GRAG: Anchor and Rationale Guided Dual Alignment for Graph Retrieval-Augmented Generationcited by 9
  6. 2025MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMscited by 9
  7. 2025Diffusion Generative Recommendation with Continuous Tokenscited by 8
  8. 2026Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarioscited by 8
  9. 2025Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendationcited by 7
  10. 2025A Survey on Large Language Models in Multimodal Recommender Systemscited by 7
  11. 2025Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Modelscited by 7
  12. 2025Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learningcited by 5
38 more
  1. 2026ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing Servicescited by 5
  2. 2025HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Modelscited by 4
  3. 2025Exposing Privacy Risks in Graph Retrieval-Augmented Generationcited by 4
  4. 2025Graph Foundation Models for Recommendation: A Comprehensive Surveycited by 3
  5. 2025RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendationcited by 3
  6. 2025AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agentscited by 3
  7. 2026Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactionscited by 3
  8. 2026ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuningcited by 3
  9. 2026Autonomous Information Seeking: A Roadmap for Agentic Recommender Systemscited by 3
  10. 2025Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMscited by 2
  11. 2025WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Webcited by 2
  12. 2025ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendationcited by 2
  13. 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layerscited by 2
  14. 2026Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendationcited by 2
  15. 2025Effectiveness of LLMs in Temporal User Profiling for Recommendationcited by 1
  16. 2025MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender Systemcited by 1
  17. 2026GPU-Accelerated ANNS: Quantized for Speed, Built for Changecited by 1
  18. 2026Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecastingcited by 1
  19. 2026MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Moleculescited by 1
  20. 2025LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Rankingcited by 0
  21. 2025EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledgecited by 0
  22. 2025MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systemscited by 0
  23. 2025SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completioncited by 0
  24. 2025Dual Refinement Cycle Learning: Unsupervised Text Classification of Mamba and Community Detection on Text Attributed Graphcited by 0
  25. 2025StruProKGR: A Structural and Probabilistic Framework for Sparse Knowledge Graph Reasoningcited by 0
  26. 2026Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendationcited by 0
  27. 2026Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systemscited by 0
  28. 2026Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenderscited by 0
  29. 2026PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kongcited by 0
  30. 2026LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrievalcited by 0
  31. 2026Adaptive Defense Orchestration for RAG: A Sentinel-Strategist Architecture against Multi-Vector Attackscited by 0
  32. 2026GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completioncited by 0
  33. 2026RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendationcited by 0
  34. 2026Ottilie: A Socially Intelligent Virtual Host for Sales-Driven Live Commercecited by 0
  35. 2026LLMs+Graphs: Toward Graph-Native, Synergistic AI Systemscited by 0
  36. 2026Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Surveycited by 0
  37. 2026Diffusion Language Model for Recommendationcited by 0
  38. 2026X-KGRank: A Knowledge Graph RAG Framework for Explainable Recommendations via Pattern Mining and LLM Re-Rankingcited by 0

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  1. 2025KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
  2. 2025Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM
  3. 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
  4. 2024Graph Retrieval-Augmented Generation: A Survey
  5. 2025Knowledge Graph-Guided Retrieval Augmented Generation
  6. 2025Comparative Analysis of Neural Retriever-Reranker Pipelines for Retrieval-Augmented Generation over Knowledge Graphs in E-commerce Applications
  7. 2025RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
  8. 2025AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs