Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …

Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

Knowledge graphs (KGs) have been widely used in the field of artificial intelligence, such as
in information retrieval, natural language processing, recommendation systems, etc …

Semantic embedding of knowledge graphs has been widely studied and used for prediction
and statistical analysis tasks across various domains such as Natural Language Processing …

Learning high-quality node embeddings is a key building block for machine learning models
that operate on graph data, such as social networks and recommender systems. However …

Abstract Integrating Large Language Models (LLMs) with Knowledge Graphs (KGs)
enhances the interpretability and performance of AI systems. This research comprehensively …

The Natural Language Processing (NLP) community has significantly contributed to the
solutions for entity and relation recognition from a natural language text, and possibly linking …

Abstract Knowledge graph embeddings that generate vector space representations of
knowledge graph triples, have gained considerable popularity in past years. Several …