Many mathematical models have been leveraged to design embeddings for representing
Knowledge Graph (KG) entities and relations for link prediction and many downstream tasks …

The cascade of 2D geometric transformations were exploited to model relations between
entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model …

Large Language Models (LLMs) have demonstrated impressive capability in different tasks
and are bringing transformative changes to many domains. However, keeping the …