Enhancing Knowledge Graph Embedding's via Logic Regularized Graph Neural Networks
In (high)-dimensional data, deep learning-based Knowledge Graph Embedding (KGE) models have shown better capacity in learning the true pattern of latent features. However, they are typically used as "black boxes", where statistical correlation is preferred over explicit logical inference. These are geometrically feasib...