mlsanityData to 14 Oct 2026

A Survey of Knowledge Graph Embedding and Their Applications

arXiv 2107.07842 ↗First posted 16 Jul 2021cs.IR cs.AIcited by 17

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Abstract (arXiv)

Knowledge Graph embedding provides a versatile technique for representing knowledge. These techniques can be used in a variety of applications such as completion of knowledge graph to predict missing information, recommender systems, question answering, query expansion, etc. The information embedded in Knowledge graph though being structured is challenging to consume in a real-world application. Knowledge graph embedding enables the real-world application to consume information to improve performance. Knowledge graph embedding is an active research area. Most of the embedding methods focus on structure-based information. Recent research has extended the boundary to include text-based information and image-based information in entity embedding. Efforts have been made to enhance the representation with context information. This paper introduces growth in the field of KG embedding from simple translation-based models to enrichment-based models. This paper includes the utility of the Knowledge graph in real-world applications.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 16 of its 48 references that are in the map. First posted on arXiv 16 Jul 2021.

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16 of 48 references.

References · 16

  1. 2017Graph Attention Networkscited by 8,923
  2. 2014Embedding Entities and Relations for Learning and Inference in Knowledge Basescited by 932
  3. 2016Complex Embeddings for Simple Link Predictioncited by 902
  4. 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 898
  5. 2017Convolutional 2D Knowledge Graph Embeddingscited by 730
  6. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  7. 2015A Review of Relational Machine Learning for Knowledge Graphscited by 265
  8. 2015Holographic Embeddings of Knowledge Graphscited by 181
  9. 2020A Survey on Knowledge Graph-Based Recommender Systemscited by 170
  10. 2019Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Predictioncited by 133
  11. 2020Knowledge Graph Embedding for Link Prediction: A Comparative Analysiscited by 85
  12. 2017Analogical Inference for Multi-Relational Embeddingscited by 69
4 more
  1. 2013A Semantic Matching Energy Function for Learning with Multi-relational Datacited by 61
  2. 2018Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrievalcited by 33
  3. 2019Research Commentary on Recommendations with Side Information: A Survey and Research Directionscited by 23
  4. 2020Knowledge Graph Embeddings and Explainable AIcited by 15

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Citing papers per year: 2021: 1; 2022: 8; 2023: 2; 2024: 5; 2025: 1.

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  1. 2022Sequence-to-Sequence Knowledge Graph Completion and Question Answeringcited by 75
  2. 2022RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Groundingcited by 47
  3. 2024RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Modelscited by 20
  4. 2021Recommender systems based on graph embedding techniques: A comprehensive reviewcited by 8
  5. 2022pyRDF2Vec: A Python Implementation and Extension of RDF2Veccited by 8
  6. 2022Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraintscited by 7
  7. 2022Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Reviewcited by 5
  8. 2024CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completioncited by 4
  9. 2024Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graphcited by 3
  10. 2022Dual Embodied-Symbolic Concept Representations for Deep Learningcited by 2
  11. 2022Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spacescited by 2
  12. 2023Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Millisecondscited by 1
5 more
  1. 2024An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graphcited by 1
  2. 2025The Structure of Relation Decoding Linear Operators in Large Language Modelscited by 1
  3. 2022Knowledgebra: An Algebraic Learning Framework for Knowledge Graphcited by 0
  4. 2023Node-based Knowledge Graph Contrastive Learning for Medical Relationship Predictioncited by 0
  5. 2024Sampling Foundational Transformer: A Theoretical Perspectivecited by 0