# Knowledge-graph and structured-knowledge RAG

Area: [Retrieval-augmented generation](https://mlsanity.com/rag/index.md). HTML: https://mlsanity.com/rag/knowledge-graph-and-structured-knowledge-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.

## Most cited here

- [From Local to Global: A Graph RAG Approach to Query-Focused Summarization](https://mlsanity.com/paper/2404.16130/) (2024), cited by 254 papers here
- [Graph Retrieval-Augmented Generation: A Survey](https://mlsanity.com/paper/2408.08921/) (2024), cited by 115 papers here
- [RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval](https://mlsanity.com/paper/2401.18059/) (2024), cited by 113 papers here
- [LightRAG: Simple and Fast Retrieval-Augmented Generation](https://mlsanity.com/paper/2410.05779/) (2024), cited by 102 papers here
- [G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://mlsanity.com/paper/2402.07630/) (2024), cited by 68 papers here
- [Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy](https://mlsanity.com/paper/2305.15294/) (2023), cited by 52 papers here
- [GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning](https://mlsanity.com/paper/2405.20139/) (2024), cited by 49 papers here
- [Retrieval-Augmented Generation with Graphs (GraphRAG)](https://mlsanity.com/paper/2501.00309/) (2024), cited by 48 papers here
- [A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models](https://mlsanity.com/paper/2501.13958/) (2025), cited by 31 papers here
- [PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths](https://mlsanity.com/paper/2502.14902/) (2025), cited by 30 papers here

## New (17 Sep–7 Oct)

- [DBRAG: Multi-Table Retrieval-Augmented Generation for Complex Database Queries](https://mlsanity.com/paper/2610.07622/) (2026-10-06)
- [A Matryoshka Hierarchical RAG for Efficient Multi-Hop Question Answering](https://mlsanity.com/paper/2610.01767/) (2026-10-01)
- [Tree Navigation Without LLM Summaries: A Matched-Cost Study of Hierarchical Retrieval for Long-Document QA](https://mlsanity.com/paper/2610.06902/) (2026-09-30)
- [Corpus-Guided Dual-Path Propagation for Graph Retrieval-Augmented Generation](https://mlsanity.com/paper/2609.37661/) (2026-09-29)
- [Bridging Semantic Gaps in RAG through Generated Context Knowledge Fusion](https://mlsanity.com/paper/2609.37171/) (2026-09-29)
- [STITCH-RAG: Spatio-Temporal Influence Tracing over Topic Hypergraphs for Multi-Hop Retrieval-Augmented Generation](https://mlsanity.com/paper/2609.34127/) (2026-09-28)
- [HyperReCo: Retrieving and Connecting Evidence with Hypergraph Neural Networks for LLM Multi-hop Reasoning](https://mlsanity.com/paper/2609.32327/) (2026-09-26)
- [Asymmetric Dynamic Routing: Balancing Reasoning Depth and Computational Efficiency in Hypergraph RAG](https://mlsanity.com/paper/2609.29282/) (2026-09-24)
- [Dual-Hypergraph Indexing: Bridging Knowledge Islands for Multi-Hop Reasoning in Retrieval-Augmented Generation](https://mlsanity.com/paper/2609.28108/) (2026-09-23)
- [Meet, Compare, or Abstain: LatWeave for Deterministic Multi-Hop Question Answering on Knowledge Lattices](https://mlsanity.com/paper/2609.27225/) (2026-09-23)
- [LADDER: Graph-Guided Diffusion Language Models for Efficient Multi-Hop Reasoning](https://mlsanity.com/paper/2609.24346/) (2026-09-21)
- [Beyond Similarity through Zero-Token Geometric Graphs for Multi-Hop RAG](https://mlsanity.com/paper/2609.19622/) (2026-09-17)