mlsanityData to 7 Oct 2026

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models

arXiv 2502.09956 ↗First posted 14 Feb 2025cs.CL cs.AI cs.IRcited by 49

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Abstract (arXiv)

Recent interest in building foundation models for KGs has highlighted a fundamental challenge: knowledge-graph data is relatively scarce. The best-known KGs are primarily human-labeled, created by pattern-matching, or extracted using early NLP techniques. While human-generated KGs are in short supply, automatically extracted KGs are of questionable quality. We present a solution to this data scarcity problem in the form of a text-to-KG generator (KGGen), a package that uses language models to create high-quality graphs from plaintext. Unlike other KG extractors, KGGen clusters related entities to reduce sparsity in extracted KGs. KGGen is available as a Python library (textttpip install kg-gen), making it accessible to everyone. Along with KGGen, we release the first benchmark, Measure of of Information in Nodes and Edges (MINE), that tests an extractor's ability to produce a useful KG from plain text. We benchmark our new tool against existing extractors and demonstrate far superior performance.

Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). Builds on 9 of its 32 references that are in the map. First posted on arXiv 14 Feb 2025.

Builds on

9 of 32 references.

References · 9

  1. 2020LightGCN: Simplifying and Powering Graph Convolution Network for Recommendationcited by 1,134
  2. 2024Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Constructioncited by 70
  3. 2022A Decade of Knowledge Graphs in Natural Language Processing: A Surveycited by 40
  4. 2024From human experts to machines: An LLM supported approach to ontology and knowledge graph constructioncited by 40
  5. 2021A Study of the Quality of Wikidatacited by 35
  6. 2023Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notescited by 17
  7. 2018Triple Trustworthiness Measurement for Knowledge Graphcited by 16
  8. 2019Efficient Knowledge Graph Accuracy Evaluationcited by 11
  9. 2023KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Taskscited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 20; 2026: 29.

49 papers.

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  1. 2025LLM-empowered knowledge graph construction: A surveycited by 20
  2. 2025Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modellingcited by 9
  3. 2025AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Constructioncited by 6
  4. 2025Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Modelscited by 6
  5. 2026Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAGcited by 6
  6. 2025RAKG:Document-level Retrieval Augmented Knowledge Graph Constructioncited by 4
  7. 2025ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMscited by 3
  8. 2025SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioningcited by 3
  9. 2026Ontology-to-tools compilation for executable semantic constraint enforcement in LLM agentscited by 3
  10. 2025Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Frameworkcited by 2
  11. 2025LightKGG: Simple and Efficient Knowledge Graph Generation from Textual Datacited by 2
  12. 2026Task-Awareness Improves LLM Generations and Uncertaintycited by 2
37 more
  1. 2025Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyondcited by 1
  2. 2025CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answeringcited by 1
  3. 2025Are Large Language Models Effective Knowledge Graph Constructors?cited by 1
  4. 2025AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAMcited by 1
  5. 2025HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignmentcited by 1
  6. 2025Ontology-Based Knowledge Graph Framework for Industrial Standard Documents via Hierarchical and Propositional Structuringcited by 1
  7. 2026Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shapingcited by 1
  8. 2026Instructor-Aligned Knowledge Graphs for Personalized Learningcited by 1
  9. 2026AgentCAT: An LLM Agent for Extracting and Analyzing Catalytic Reaction Data from Chemical Engineering Literaturecited by 1
  10. 2026Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approachcited by 1
  11. 2026Knowledge Graph Representations for LLM-Based Policy Compliance Reasoningcited by 1
  12. 2026Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answeringcited by 1
  13. 2026Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correctioncited by 1
  14. 2025EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledgecited by 0
  15. 2025BambooKG: A Neurobiologically-inspired Frequency-Weight Knowledge Graphcited by 0
  16. 2025AI Consciousness and Existential Riskcited by 0
  17. 2025InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generationcited by 0
  18. 2025gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphscited by 0
  19. 2026SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extractioncited by 0
  20. 2026Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extractioncited by 0
  21. 2026Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generationcited by 0
  22. 2026The Semantic Ladder: A Framework for Progressive Formalization of Natural Language Content for Knowledge Graphs and AI Systemscited by 0
  23. 2026Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphscited by 0
  24. 2026A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networkscited by 0
  25. 2026MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graphcited by 0
  26. 2026PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agentscited by 0
  27. 2026GenAI-Driven Approach to RISC-V Supply Chain Explorationcited by 0
  28. 2026SKG-Eval: Stateful Evaluation of Multi-Turn Dialogue via Incremental Semantic Knowledge Graphscited by 0
  29. 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusioncited by 0
  30. 2026Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Studycited by 0
  31. 2026PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discoverycited by 0
  32. 2026PEARL: Auditable Repair for Scientific Reasoning Graph Extractioncited by 0
  33. 2026Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learningcited by 0
  34. 2026Interpretable Column Annotation with LLM-Symbolized Decision Process Materializationcited by 0
  35. 2026Long SKILL Compliance as Logical Reasoning: Closure-Grounded Detection with Scaling-Guided On-Policy Distillationcited by 0
  36. 2026Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question Answeringcited by 0
  37. 2026BizSage: A Self-Evolving Multi-Agent Framework for Business Research with Efficient Knowledge Retrievalcited by 0