Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
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Abstract (arXiv)
The entity type information in Knowledge Graphs (KGs) such as DBpedia, Freebase, etc. is often incomplete due to automated generation or human curation. Entity typing is the task of assigning or inferring the semantic type of an entity in a KG. This paper presents textitGRAND, a novel approach for entity typing leveraging different graph walk strategies in RDF2vec together with textual entity descriptions. RDF2vec first generates graph walks and then uses a language model to obtain embeddings for each node in the graph. This study shows that the walk generation strategy and the embedding model have a significant effect on the performance of the entity typing task. The proposed approach outperforms the baseline approaches on the benchmark datasets DBpedia and FIGER for entity typing in KGs for both fine-grained and coarse-grained classes. The results show that the combination of order-aware RDF2vec variants together with the contextual embeddings of the textual entity descriptions achieve the best results.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 20 of its 43 references that are in the map. First posted on arXiv 28 Jul 2022.
Builds on
20 of 43 references.
References · 20
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8 more
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Built on by
Citing papers per year: 2023: 1; 2024: 3; 2025: 2.
6 papers.
- 2025LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Modelscited by 9
- 2024The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typingcited by 6
- 2023Towards Semantically Enriched Embeddings for Knowledge Graph Completioncited by 3
- 2025Enriching Taxonomies Using Large Language Modelscited by 2
- 2024The X Types -- Mapping the Semantics of the Twitter Spherecited by 1
- 2024Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphscited by 1
- 2025Enriching Taxonomies Using Large Language Models21 Nov 2025
- 2025LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models1 Apr 2025
- 2024Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs23 Dec 2024
- 2024The X Types -- Mapping the Semantics of the Twitter Sphere22 Sep 2024
- 2024The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing12 Apr 2024
- 2023Towards Semantically Enriched Embeddings for Knowledge Graph Completion31 Jul 2023