Investigating Graph Structure Information for Entity Alignment with Dangling Cases

Understand

Entity alignment (EA) aims to discover the equivalent entities in different knowledge graphs (KGs), which play an important role in knowledge engineering.

• Recently, EA with dangling entities has been proposed as a more realistic setting, which assumes that not all entities have corresponding equivalent entities.
• In this paper, we focus on this setting.
• Some work has explored this problem by leveraging translation API, pre-trained word embeddings, and other off-the-shelf tools.