DeepAI AI Chat
Log In Sign Up

Multi-view Knowledge Graph Embedding for Entity Alignment

by   Qingheng Zhang, et al.
Nanjing University

We study the problem of embedding-based entity alignment between knowledge graphs (KGs). Previous works mainly focus on the relational structure of entities. Some further incorporate another type of features, such as attributes, for refinement. However, a vast of entity features are still unexplored or not equally treated together, which impairs the accuracy and robustness of embedding-based entity alignment. In this paper, we propose a novel framework that unifies multiple views of entities to learn embeddings for entity alignment. Specifically, we embed entities based on the views of entity names, relations and attributes, with several combination strategies. Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs. Our experiments on real-world datasets show that the proposed framework significantly outperforms the state-of-the-art embedding-based entity alignment methods. The selected views, cross-KG inference and combination strategies all contribute to the performance improvement.


page 1

page 2

page 3

page 4


Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

Entity alignment is the task of linking entities with the same real-worl...

Alignment and stability of embeddings: measurement and inference improvement

Representation learning (RL) methods learn objects' latent embeddings wh...

Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis

During the last decade, entity embeddings have become ubiquitous in Arti...

Deep Reinforcement Learning for Entity Alignment

Embedding-based methods have attracted increasing attention in recent en...

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

We study the problem of knowledge graph (KG) embedding. A widely-establi...

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

Graph alignment, which aims at identifying corresponding entities across...

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Entity alignment (EA) aims at finding equivalent entities in different k...