On the Evolution of Knowledge Graphs: A Survey and Perspective
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Abstract (arXiv)
Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. In this article, we provide a comprehensive survey on the evolution of various types of knowledge graphs (i.e., static KGs, dynamic KGs, temporal KGs, and event KGs) and techniques for knowledge extraction and reasoning. Furthermore, we introduce the practical applications of different types of KGs, including a case study in financial analysis. Finally, we propose our perspective on the future directions of knowledge engineering, including the potential of combining the power of knowledge graphs and large language models (LLMs), and the evolution of knowledge extraction, reasoning, and representation.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 110 of its 213 references that are in the map. First posted on arXiv 7 Oct 2023.
Builds on
110 of 213 references.
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38 more
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50 most cited of 110 All 110 (JSON)
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Citing papers per year: 2024: 4; 2025: 4; 2026: 1.
9 papers.
- 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challengescited by 86
- 2024Unlocking the Power of Large Language Models for Entity Alignmentcited by 15
- 2024RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answeringcited by 13
- 2025ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMscited by 7
- 2024FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planningcited by 5
- 2025A Survey of Link Prediction in N-ary Knowledge Graphscited by 4
- 2026Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memorycited by 2
- 2025KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenancecited by 1
- 2025A Large-Scale Dataset and Citation Intent Classification in Turkish with LLMscited by 0
- 2026Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory4 Apr 2026
- 2025ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs26 Oct 2025
- 2025KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance7 Oct 2025
- 2025A Large-Scale Dataset and Citation Intent Classification in Turkish with LLMs26 Sep 2025
- 2025A Survey of Link Prediction in N-ary Knowledge Graphs10 Jun 2025
- 2024FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning25 Oct 2024
- 2024RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering15 Oct 2024
- 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges15 Jun 2024
- 2024Unlocking the Power of Large Language Models for Entity Alignment23 Feb 2024