Apr 20, 2020 · It aims to identify entities across different knowledge graphs that refer to the same real world entity. However, current entity alignment ...
In this paper, we present a CollectiveGraph neural network for Multi-type entity Alignment, called CG-MuAlign. Different from previous work, CG-MuAlign jointly ...
It aims to identify entities across different knowledge graphs that refer to the same real world entity. However, current entity alignment systems overlook the ...
It aims to identify entities across different knowledge graphs that refer to the same real world entity. However, current entity alignment systems overlook the ...
A reference implementation for Collective Multi-type Entity Alignment Between Knowledge Graphs, published in WWW 2020.
A novel collective aggregation function tailored for Multi-type entity Alignment, called CG-MuAlign, that relieves the incompleteness of knowledge graphs ...
Therefore, a multi-type entity alignment algorithm named CG-MuAlign [40] was created to collectively align entities of different types and make predictions on ...
People also ask
How do you combine two knowledge graphs?
What is knowledge graph alignment?
What are the entities in a knowledge graph?
This is a repo listing some must-read papers on Entity Alignment published in recent years, mainly contributed by Chengjiang Li, Zequn Sun and Kaisheng Zeng.
, Collective Multi-type Entity Alignment Between Knowledge Graphs ;; Yennun Huang, author. ;, ISBN: 1-4503-7023-3; DOI: 10.1145/3366423.3380289 ;, Proceedings ...
A comprehensive survey of entity alignment for knowledge graphs
www.sciencedirect.com › article › pii
Entity alignment aims to find equivalence relations between entities in different knowledge graphs but semantically represent the same real-world object, which ...