4 papers
Ontology-Enhanced Knowledge Graph Completion using Large Language Models
Wenbin Guo, Xin Wang, Jiaoyan Chen +2
Large Language Models (LLMs) have been extensively adopted in Knowledge Graph Completion (KGC), showcasing significant research advancements. However, as black-box models driven by…
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
Wenbin Guo, Zhao Li, Xin Wang +4
Knowledge graphs often suffer from incompleteness issues, which can be alleviated through information completion. However, current state-of-the-art deep knowledge convolutional emb…
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang, Zirui Chen, Haofen Wang +3
Knowledge Representation Learning (KRL) is crucial for enabling applications of symbolic knowledge from Knowledge Graphs (KGs) to downstream tasks by projecting knowledge facts int…
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding
Zhao Li, Xin Wang, Jun Zhao +2
Knowledge hypergraph embedding models are usually computationally expensive due to the inherent complex semantic information. However, existing works mainly focus on improving the…