In recent years, there are surging interests in designing machine learning algorithms for complex reasoning tasks, especially in large knowledge graphs (KGs) where the countless entities and links have posed great challenges to traditional logic-based algorithms.
we situate our study in this large KG multi-hop reasoning scenario, where the goal is to design an automated inference model to complete the missing links between existing entities in large KGs.