A survey: knowledge graph entity alignment research based on graph embedding
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10866-4
Abstract: Entity alignment (EA) aims to automatically match entities in different knowledge graphs, which is beneficial to the development of knowledge-driven applications. Representation learning has powerful feature capture capability and it is widely used in the… read more here.
Keywords: knowledge; entity alignment; representation learning; research ... See more keywords
EASA: Entity Alignment Algorithm Based on Semantic Aggregation and Attribute Attention
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2968620
Abstract: Numerous knowledge bases have been published on the web, and there are serious heterogeneous problems among them. Unifying these knowledge bases at the semantic level can better promote the development of the Linked Data Project.… read more here.
Keywords: entity alignment; entity; semantic aggregation; alignment algorithm ... See more keywords
Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3259987
Abstract: The knowledge graphs are structured data utilized for information retrieval purposes. Entity alignment using multi-modal supplementary information plays an important role in knowledge graph integration. However, if the supplementary information is missing or incorrect, it… read more here.
Keywords: information; alignment using; information retrieval; uncertainty ... See more keywords
Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105947
Abstract: Knowledge graphs (KGs) have been widely accepted as powerful tools for modeling the complex relationships between concepts and developing knowledge-based services. In recent years, researchers in the field of power systems have explored KGs to… read more here.
Keywords: knowledge fusion; power; knowledge; knowledge graphs ... See more keywords
Concept-Aware Entity Alignment Network for Industrial Knowledge Graph
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3523562
Abstract: The industrial knowledge graph (IKG) can improve the cognitive intelligence of the manufacturing system and is recognized as one of the cores of the next-generation industrial management information system. Due to the multisource heterogeneous nature… read more here.
Keywords: semantics; industrial knowledge; entity alignment; entity ... See more keywords
An Experimental Study of State-of-the-Art Entity Alignment Approaches
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3018741
Abstract: Entity alignment (EA) finds equivalent entities that are located in different knowledge graphs (KGs), which is an essential step to enhance the quality of KGs, and hence of significance to downstream applications (e.g., question answering… read more here.
Keywords: entity alignment; state art; study;
SE-GNN: Seed Expanded-Aware Graph Neural Network With Iterative Optimization for Semi-Supervised Entity Alignment
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3555586
Abstract: Entity alignment aims to use pre-aligned seed pairs to find other equivalent entities from different knowledge graphs and is widely used in graph fusion-related fields. However, as the scale of knowledge graphs increases, manually annotating… read more here.
Keywords: seed; gnn; potential seed; seed pairs ... See more keywords
A Novel Embedding Model for Knowledge Graph Entity Alignment Based on Graph Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13105876
Abstract: The objective of the entity alignment (EA) task is to identify entities with identical semantics across distinct knowledge graphs (KGs) situated in the real world, which has garnered extensive recognition in both academic and industrial… read more here.
Keywords: entity alignment; entity; framework; knowledge ... See more keywords
Multi-Modal Entity Alignment Method Based on Feature Enhancement
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13116747
Abstract: Multi-modal entity alignment refers to identifying equivalent entities between two different multi-modal knowledge graphs that consist of multi-modal information such as structural triples and descriptive images. Most previous multi-modal entity alignment methods have mainly used… read more here.
Keywords: information; multi modal; multi; modal entity ... See more keywords
Entity-Alignment Interaction Model Based on Chinese RoBERTa
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14146162
Abstract: Entity alignment aims to match entities with the same semantics from different knowledge graphs. Most existing studies use neural networks to combine graph-structure information and additional entity information (such as names, descriptions, images, and attributes)… read more here.
Keywords: information; interaction model; entity alignment; entity ... See more keywords