A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge

Understand

Knowledge graphs (KG) have served as the key component of various natural language processing applications.

• Commonsense knowledge graphs (CKG) are a special type of KG, where entities and relations are composed of free-form text.
• However, previous works in KG completion and CKG completion suffer from long-tail relations and newly-added relations which do not have many know triples for training.
• In light of this, few-shot KG completion (FKGC), which requires the strengths of graph representation learning and few-shot learning, has been proposed to challenge the problem of limited annotated data.