Xiaoqin Pan

Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation

Knowledge graph completion (KGC) aims to alleviate the inherent incompleteness of knowledge graphs (KGs), a crucial task for numerous applications such as recommendation systems and drug repurposing. The success of knowledge graph embedding (KGE) models provokes the question about the explainability…