Multi-scale dilated convolutional network for knowledge graph embedding

It aims to learn how to represent the low-dimensional vectors of entities and relations using observed triplets. KGE can benefit a variety of downstream tasks, such as KG completion and triplet classification. Deep models achieve state-of-the-art performance by leveraging the powerful nonlinear fitt... View More