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Knowledge Graph Embeddings and Explainable AI

arXiv 2004.14843 ↗First posted 30 Apr 2020cs.AI cs.CLcited by 15

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Abstract (arXiv)

Knowledge graph embeddings are now a widely adopted approach to knowledge representation in which entities and relationships are embedded in vector spaces. In this chapter, we introduce the reader to the concept of knowledge graph embeddings by explaining what they are, how they can be generated and how they can be evaluated. We summarize the state-of-the-art in this field by describing the approaches that have been introduced to represent knowledge in the vector space. In relation to knowledge representation, we consider the problem of explainability, and discuss models and methods for explaining predictions obtained via knowledge graph embeddings.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Apr 2020.

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Citing papers per year: 2021: 5; 2022: 4; 2023: 3; 2024: 2; 2025: 1.

15 papers.

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  1. 2021Differentially Private Federated Knowledge Graphs Embeddingcited by 45
  2. 2021A Survey of Knowledge Graph Embedding and Their Applicationscited by 17
  3. 2021Learning Embeddings from Knowledge Graphs With Numeric Edge Attributescited by 10
  4. 2021HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrationscited by 9
  5. 2022R-GCN: The R Could Stand for Randomcited by 9
  6. 2021Recommender systems based on graph embedding techniques: A comprehensive reviewcited by 8
  7. 2024Comprehensible Artificial Intelligence on Knowledge Graphs: A surveycited by 8
  8. 2022KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Modelscited by 4
  9. 2022Dual Embodied-Symbolic Concept Representations for Deep Learningcited by 2
  10. 2022Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examplescited by 2
  11. 2023Revisiting Inferential Benchmarks for Knowledge Graph Completioncited by 2
  12. 2023KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillationcited by 2
3 more
  1. 2025xpSHACL: Explainable SHACL Validation using Retrieval-Augmented Generation and Large Language Modelscited by 2
  2. 2023Node-based Knowledge Graph Contrastive Learning for Medical Relationship Predictioncited by 0
  3. 2024LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictionscited by 0