Entity Alignment (EA) is a crucial step in knowledge graph fusion, aiming to match
equivalent entity pairs across different knowledge graphs (KGs). In recent years, Temporal …

Knowledge graphs (KGs) have recently been used for many tools and applications, making
them rich resources in structured format. However, in the real world, KGs grow due to the …

Abstract Temporal Knowledge Graph Entity Alignment (TKGEA) aims to identify the
equivalent entities between different Temporal Knowledge Graphs (TKGs), which is …

The accuracy and consistency of metrology data are the cornerstones of the safety and
reliability of aircraft throughout aeronautical products' lifecycles. Due to the heterogeneous …

Real-world knowledge graphs are growing in size with the explosion of data and rapid
expansion of knowledge. There are some studies on knowledge graph query, but temporal …

Entity alignment is an important task in knowledge fusion, which aims to link entities that
have the same real-world identity in two knowledge graphs. However, in the process of …

The objective of temporal entity alignment is to establish a correspondence between two
temporal knowledge graphs. While sev-eral entity alignment models have achieved …