Related Experiment Video
Updated: Jul 4, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
Embedding-Based Entity Alignment of Cross-Lingual Temporal Knowledge Graphs
Luyi Bai1, Nan Li1, Guishun Li1
1School of Computer and Communication Engineering, Northeastern University (Qinhuangdao), Qinhuangdao 066004, China.
Abstract:
Entity alignment aims to construct a complete knowledge graph (KG) by matching the same entities in multi-source KGs. Existing researches on entity alignment mainly focuses on static multi-relational data in knowledge graphs. However, the relationships or attributes between entities often possess temporal characteristics as well. Neglecting these temporal characteristics can frequently lead to alignment errors. Compared to studying entity alignment in temporal knowledge graphs, there are relatively few efforts on entity alignment in cross-lingual temporal knowledge graphs. Therefore, in this paper, we put forward an entity alignment method for cross-lingual temporal knowledge graphs, namely CTEA. Based on GCN and TransE, CTEA combines entity embeddings, relation embeddings and attribute embeddings to design a joint embedding model, which is more conducive to generating transferable entity embedding. In the meantime, the distance calculation between elements and the similarity calculation of entity pairs are combined to enhance the reliability of cross-lingual entity alignment. Experiments shows that the proposed CTEA model improves Hits@m and MRR by about 0.8∼2.4 percentage points compared with the latest methods.
More Related Videos
07:35A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
09:09Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
Related Concept Videos
Improving Translational Accuracy
Structural Classification of Joints
A fibrous joint is where the adjacent bones are united by fibrous connective...
Time-Series Graph
Lateralization
Associative Learning
Classical conditioning, also known...
The Anchoring-and-Adjustment Heuristic