mlsanityData to 7 Oct 2026

Knowledge Graphs

arXiv 2003.02320 ↗First posted 4 Mar 2020cs.AI cs.DB cs.LGcited by 619

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Cited by 44 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models and query languages that are used for knowledge graphs. We discuss the roles of schema, identity, and context in knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We summarise methods for the creation, enrichment, quality assessment, refinement, and publication of knowledge graphs. We provide an overview of prominent open knowledge graphs and enterprise knowledge graphs, their applications, and how they use the aforementioned techniques. We conclude with high-level future research directions for knowledge graphs.

Key facts. Cited by 619 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 57; 2022: 46; 2023: 103; 2024: 106; 2025: 151; 2026: 156.

619 papers.

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  1. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 486
  2. 2023Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Surveycited by 92
  3. 2024HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extractioncited by 92
  4. 2021Knowledge Graph Reasoning with Relational Digraphcited by 91
  5. 2022Extracting Cultural Commonsense Knowledge at Scalecited by 76
  6. 2022A Survey of Knowledge Enhanced Pre-trained Language Modelscited by 76
  7. 2024Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Surveycited by 74
  8. 2023Knowledge Graphs: Opportunities and Challengescited by 70
  9. 2021TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecastingcited by 67
  10. 2023Graph Neural Prompting with Large Language Modelscited by 64
  11. 2021Incorporating Domain Knowledge into Deep Neural Networkscited by 56
  12. 2023Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Textcited by 48
38 more
  1. 2026SkillNet: Create, Evaluate, and Connect AI Skillscited by 48
  2. 2025Large Language Models Hallucination: A Comprehensive Surveycited by 45
  3. 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
  4. 2022A Decade of Knowledge Graphs in Natural Language Processing: A Surveycited by 40
  5. 2024From human experts to machines: An LLM supported approach to ontology and knowledge graph constructioncited by 40
  6. 2021Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Conescited by 38
  7. 2023Knowledge Distillation on Graphs: A Surveycited by 38
  8. 2021A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspectivecited by 37
  9. 2023Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environmentcited by 37
  10. 2025KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systemscited by 36
  11. 2023Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databasescited by 35
  12. 2023AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Riskscited by 34
  13. 2024KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractioncited by 33
  14. 2021Role-Aware Modeling for N-ary Relational Knowledge Basescited by 29
  15. 2022AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoningcited by 28
  16. 2025KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichmentcited by 26
  17. 2021Combining pre-trained language models and structured knowledgecited by 25
  18. 2023Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphscited by 24
  19. 2021Query Embedding on Hyper-relational Knowledge Graphscited by 23
  20. 2021Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Surveycited by 23
  21. 2023Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Predictioncited by 23
  22. 2024HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applicationscited by 22
  23. 2026Graph-based Agent Memory: Taxonomy, Techniques, and Applicationscited by 22
  24. 2023Dual Box Embeddings for the Description Logic EL++cited by 21
  25. 2023How to Turn Your Knowledge Graph Embeddings into Generative Modelscited by 20
  26. 2024RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Modelscited by 20
  27. 2026Beyond Static Summarization: Proactive Memory Extraction for LLM Agentscited by 20
  28. 2021OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embeddingcited by 19
  29. 2021Refined Commonsense Knowledge from Large-Scale Web Contentscited by 19
  30. 2023Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Textcited by 19
  31. 2021Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embeddingcited by 18
  32. 2023BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysiscited by 18
  33. 2024Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!cited by 18
  34. 2021EvoLearner: Learning Description Logics with Evolutionary Algorithmscited by 17
  35. 2022Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generationcited by 17
  36. 2021Fast and Effective Biomedical Entity Linking Using a Dual Encodercited by 16
  37. 2021Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methodscited by 16
  38. 2024Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphscited by 16

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