mlsanityData to 7 Oct 2026

Knowledge-graph and structured-knowledge RAG

460 papers1 this weekHigh confidence in this grouping: the papers form one clear topicHigh confidence in this grouping: the papers form one clear topic · About

Keywords: graph, knowledge, reasoning, retrieval, rag

Key facts. Knowledge-graph and structured-knowledge RAG: 460 papers on arXiv since 2023 (data through 7 Oct 2026). 254 of its 460 mapped papers (55%) cite “From Local to Global: A Graph RAG Approach to Query-Focused Summarization” (2024, arXiv 2404.16130). 115 of its 460 mapped papers (25%) cite “Graph Retrieval-Augmented Generation: A Survey” (2024, arXiv 2408.08921). 12 new papers 17 Sep–7 Oct.

What’s new

17 Sep – 7 Oct 2026

12 new papers, 17 Sep – 7 Oct; 1 this week.

  1. This week · 1
  2. DBRAG: Multi-Table Retrieval-Augmented Generation for Complex Database Queries
  3. Earlier · 11
  4. A Matryoshka Hierarchical RAG for Efficient Multi-Hop Question Answering
  5. Tree Navigation Without LLM Summaries: A Matched-Cost Study of Hierarchical Retrieval for Long-Document QA also fits: RAG robustness and adaptive retrieval
  6. Corpus-Guided Dual-Path Propagation for Graph Retrieval-Augmented Generation
  7. Bridging Semantic Gaps in RAG through Generated Context Knowledge Fusion also fits: RAG robustness and adaptive retrieval
  8. STITCH-RAG: Spatio-Temporal Influence Tracing over Topic Hypergraphs for Multi-Hop Retrieval-Augmented Generation
  9. HyperReCo: Retrieving and Connecting Evidence with Hypergraph Neural Networks for LLM Multi-hop Reasoning
  10. Asymmetric Dynamic Routing: Balancing Reasoning Depth and Computational Efficiency in Hypergraph RAG
  11. Dual-Hypergraph Indexing: Bridging Knowledge Islands for Multi-Hop Reasoning in Retrieval-Augmented Generation
  12. Meet, Compare, or Abstain: LatWeave for Deterministic Multi-Hop Question Answering on Knowledge Lattices
All 12
  1. LADDER: Graph-Guided Diffusion Language Models for Efficient Multi-Hop Reasoning
  2. Beyond Similarity through Zero-Token Geometric Graphs for Multi-Hop RAG

Foundations

Most cited by papers here

  1. From Local to Global: A Graph RAG Approach to Query-Focused Summarization2024cited by 254 here
  2. Graph Retrieval-Augmented Generation: A Survey2024cited by 115 here
  3. RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval2024cited by 113 here
  4. LightRAG: Simple and Fast Retrieval-Augmented Generation2024cited by 102 here
  5. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering2024cited by 68 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 48 here
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 293 here
  3. 2022Atlas: Few-shot Learning with Retrieval Augmented Language Modelscited by 34 here
  4. 2023In-Context Retrieval-Augmented Language Modelscited by 35 here
  5. 2023Active Retrieval Augmented Generationcited by 39 here
  6. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 104 here
  7. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 131 here
  8. 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answeringcited by 68 here
  9. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 254 here
  10. 2024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Modelscited by 90 here
  11. 2024Graph Retrieval-Augmented Generation: A Surveycited by 115 here
  12. 2024Retrieval-Augmented Generation with Graphs (GraphRAG)cited by 48 here
  13. 2025A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Modelscited by 31 here
11 more it builds on, not in this chain
  1. 2022When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memoriescited by 43 here
  2. 2023Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergycited by 52 here
  3. 2024MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queriescited by 54 here
  4. 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalcited by 113 here
  5. 2024Retrieval-Augmented Generation for AI-Generated Content: A Surveycited by 30 here
  6. 2024Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexitycited by 31 here
  7. 2024A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Modelscited by 60 here
  8. 2024GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningcited by 49 here
  9. 2024LightRAG: Simple and Fast Retrieval-Augmented Generationcited by 102 here
  10. 2025PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Pathscited by 30 here
  11. 2025From RAG to Memory: Non-Parametric Continual Learning for Large Language Modelscited by 61 here

The 24 most cited of 640.

Browse

30 of 460, ranked 6–35

  1. 6Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy202352
  2. 7GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning202449
  3. 8Retrieval-Augmented Generation with Graphs (GraphRAG)202448
  4. 9A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models202531
  5. 10PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths202530
  6. 11Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation202429
  7. 12HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation202528
  8. 13In-depth Analysis of Graph-based RAG in a Unified Framework202527
  9. 14Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation202427
  10. 15KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation202426
All 30
  1. 16GRAG: Graph Retrieval-Augmented Generation202425
  2. 17RAG vs. GraphRAG: A Systematic Evaluation and Key Insights202522
  3. 18GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation202520
  4. 19When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation202519
  5. 20KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG202518
  6. 21LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora202517
  7. 22Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering202417
  8. 23Retrieval-Augmented Generation with Hierarchical Knowledge202516
  9. 24Knowledge Graph-Guided Retrieval Augmented Generation202514
  10. 25ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation202514
  11. 26E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness202513
  12. 27Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning202513
  13. 28Graph Neural Network Enhanced Retrieval for Question Answering of LLMs202412
  14. 29Don't Forget to Connect! Improving RAG with Graph-based Reranking202411
  15. 30Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach202411
  16. 31EfficientRAG: Efficient Retriever for Multi-Hop Question Answering202411
  17. 32GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation202510
  18. 33SiReRAG: Indexing Similar and Related Information for Multihop Reasoning202410
  19. 34EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora20259
  20. 35HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation20258