mlsanityData to 14 Oct 2026

Generative Knowledge Graph Construction: A Review

arXiv 2210.12714 ↗First posted 23 Oct 2022cs.CL cs.AI cs.DBcited by 49

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Abstract (arXiv)

Generative Knowledge Graph Construction (KGC) refers to those methods that leverage the sequence-to-sequence framework for building knowledge graphs, which is flexible and can be adapted to widespread tasks. In this study, we summarize the recent compelling progress in generative knowledge graph construction. We present the advantages and weaknesses of each paradigm in terms of different generation targets and provide theoretical insight and empirical analysis. Based on the review, we suggest promising research directions for the future. Our contributions are threefold: (1) We present a detailed, complete taxonomy for the generative KGC methods; (2) We provide a theoretical and empirical analysis of the generative KGC methods; (3) We propose several research directions that can be developed in the future.

Key facts. Cited by 49 papers in the map (data through 14 Oct 2026). Builds on 82 of its 117 references that are in the map. First posted on arXiv 23 Oct 2022.

Builds on

82 of 117 references.

References · 82

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 16; 2024: 11; 2025: 10; 2026: 10.

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  1. 2023Large Language Models for Generative Information Extraction: A Surveycited by 185
  2. 2023LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunitiescited by 97
  3. 2023Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Surveycited by 92
  4. 2023GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformercited by 88
  5. 2024Position: Graph Foundation Models are Already Herecited by 86
  6. 2024Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Constructioncited by 70
  7. 2023Making Large Language Models Perform Better in Knowledge Graph Completioncited by 48
  8. 2023How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?cited by 30
  9. 2023CodeKGC: Code Language Model for Generative Knowledge Graph Constructioncited by 28
  10. 2022FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discoverycited by 23
  11. 2024UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Constructioncited by 15
  12. 2025PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluationcited by 14
37 more
  1. 2023A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promisescited by 13
  2. 2025AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTLcited by 13
  3. 2023GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasetscited by 12
  4. 2023PIVOINE: Instruction Tuning for Open-world Information Extractioncited by 10
  5. 2024CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Promptscited by 10
  6. 2023InstructIE: A Bilingual Instruction-based Information Extraction Datasetcited by 9
  7. 2024Temporal Knowledge Graph Question Answering: A Surveycited by 9
  8. 2022Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-Endcited by 6
  9. 2023Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Constructioncited by 6
  10. 2024An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extractioncited by 5
  11. 2024CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completioncited by 4
  12. 2024Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraintscited by 4
  13. 2026STRUCTSURVEY: Structured Agentic Retrieval for Automated Survey Paper Generationcited by 4
  14. 2024Event-Arguments Extraction Corpus and Modeling using BERT for Arabiccited by 3
  15. 2023DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Researchcited by 2
  16. 2023Domain Knowledge Graph Construction Via A Simple Checkercited by 2
  17. 2024Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Modelscited by 2
  18. 2024Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Frameworkcited by 2
  19. 2025From Instructions to ODRL Usage Policies: An Ontology Guided Approachcited by 2
  20. 2026EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrievalcited by 2
  21. 2023A Concept Knowledge Graph for User Next Intent Prediction at Alipaycited by 1
  22. 2023Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphscited by 1
  23. 2025Transformer-Based Temporal Information Extraction and Application: A Reviewcited by 1
  24. 2025KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrievalcited by 1
  25. 2025Are Large Language Models Effective Knowledge Graph Constructors?cited by 1
  26. 2025A systematic review of relation extraction task since the emergence of Transformerscited by 1
  27. 2026DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessmentcited by 1
  28. 2025Hidden Entity Detection from GitHub Leveraging Large Language Modelscited by 0
  29. 2025Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answerscited by 0
  30. 2025Meronymic Ontology Extraction via Large Language Modelscited by 0
  31. 2026SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extractioncited by 0
  32. 2026Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledgecited by 0
  33. 2026Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systemscited by 0
  34. 2026Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Surveycited by 0
  35. 2026From Static Bibliometrics to Dynamic Knowledge Graphs: An LLM-Powered Framework for Modernizing Science, Technology, and Innovation (STI) Analyticscited by 0
  36. 2026Propagating construction-time knowledge quality into medical question answering: A framework grounded in clinical guidelinescited by 0
  37. 2026When Does Structured Knowledge Help Neural Theorem Proving?cited by 0