Xiangyu Gui

OpticE: A Coherence Theory-Based Model for Link Prediction

Knowledge representation learning is a key step required for link prediction tasks with knowledge graphs (KGs). During the learning process, the semantics of each entity are embedded by a vector or a point in a feature space. The distance between these points is a measure of semantic similarity. How…