Large language models (LLMs) have made significant strides in various ta...
The rapid advancement of Large Language Models (LLMs) has led to extensi...
Temporal relation prediction in incomplete temporal knowledge graphs (TK...
The development of knowledge graph (KG) applications has led to a rising...
In the last few years, the solution to Knowledge Graph (KG) completion v...
Multi-hop logical reasoning over knowledge graph (KG) plays a fundamenta...
Entity alignment aims to identify equivalent entity pairs between differ...
Recent years, Knowledge Graph Embeddings (KGEs) have shown promising
per...
Among the top approaches of recent years, link prediction using knowledg...
Knowledge Graph Embeddings (KGEs) have shown promising performance on li...
In the last few years, there has been a surge of interest in learning
re...
Knowledge graph (KG) embedding aims at embedding entities and relations ...
Knowledge Graph (KG) embedding has attracted more attention in recent ye...
Knowledge graphs (KGs) represent world's facts in structured forms. KG
c...
Knowledge graph embedding models have gained significant attention in AI...