Abstract Knowledge graph (KG) embedding models have emerged as powerful means for
KG completion. To learn the representation of KGs, entities and relations are projected in a …

Knowledge graph representation learning (KGRL) or knowledge graph embedding (KGE)
plays a crucial role in AI applications for knowledge construction and information …

Knowledge graph embedding models have gained significant attention in AI research. The
aim of knowledge graph embedding is to embed the graphs into a vector space in which the …

Knowledge Graph Embedding models have become an important area of machine learning.
Those models provide a latent representation of entities and relations in a knowledge graph …

Knowledge Graphs (KGs) are the hyped technology of recent decades which have changed
the entire world of learning methods for Artificial Intelligence (AI). This technology provides a …

Knowledge graphs are structured repositories of knowledge that store facts about the
general world or a particular domain in terms of entities and their relationships. Owing to the …