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LLM+Graph@VLDB'2025 Workshop Summary

arXiv 2604.02861 ↗First posted 3 Apr 2026cs.DB cs.AIcited by 0

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Abstract (arXiv)

The integration of large language models (LLMs) with graph-structured data has become a pivotal and fast evolving research frontier, drawing strong interest from both academia and industry. The 2nd LLM+Graph Workshop, co-located with the 51st International Conference on Very Large Data Bases (VLDB 2025) in London, focused on advancing algorithms and systems that bridge LLMs, graph data management, and graph machine learning for practical applications. This report highlights the key research directions, challenges, and innovative solutions presented by the workshop's speakers.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 26 of its 48 references that are in the map. First posted on arXiv 3 Apr 2026.

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References · 26

  1. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
  2. 2022Large Language Models Are Human-Level Prompt Engineerscited by 1,020
  3. 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 853
  4. 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answeringcited by 217
  5. 2023Large Language Models and Knowledge Graphs: Opportunities and Challengescited by 71
  6. 2024Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Constructioncited by 70
  7. 2024MarsCode Agent: AI-native Automated Bug Fixingcited by 68
  8. 2025In-depth Analysis of Graph-based RAG in a Unified Frameworkcited by 45
  9. 2025RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometrycited by 32
  10. 2024Text2Cypher: Bridging Natural Language and Graph Databasescited by 30
  11. 2025ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generationcited by 27
  12. 2023Contrastive Graph Clustering in Curvature Spacescited by 15
14 more
  1. 2025Knowledge Graph-based Retrieval-Augmented Generation for Schema Matchingcited by 13
  2. 2025Beyond Quacking: Deep Integration of Language Models and RAG into DuckDBcited by 12
  3. 2025DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMscited by 11
  4. 2025GraphCompliance: Aligning Policy and Context Graphs for LLM-Based Regulatory Compliancecited by 9
  5. 2024LLM-Enhanced Data Managementcited by 7
  6. 2025Enhancing Text2Cypher with Schema Filteringcited by 6
  7. 2025Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Studycited by 6
  8. 2025GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databasescited by 5
  9. 2025Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamicscited by 4
  10. 2024LLM+KG@VLDB'24 Workshop Summarycited by 3
  11. 2025xpSHACL: Explainable SHACL Validation using Retrieval-Augmented Generation and Large Language Modelscited by 2
  12. 2025Research Challenges in Relational Database Management Systems for LLM Queriescited by 2
  13. 2025InteracSPARQL: An Interactive System for SPARQL Query Refinement Using Natural Language Explanationscited by 2
  14. 2025Graph Repairs with Large Language Models: An Empirical Studycited by 1

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