2 citations · 2 across the 3 of their papers we have counts for
4 papers
QORH: Learning Query-Specific Ordered Rule Hypergraphs for Inductive Knowledge Graph Link Prediction
Naixing Xu
Knowledge graph link prediction involving unseen entities and relations requires learning transferable reasoning patterns from observed graph structure. Existing methods based on r…
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
Bingchen Liu, Jingchen Li, Yuanyuan Fang +1
Zero-shot learning (ZL) is crucial for tasks involving unseen categories, such as natural language processing, image classification, and cross-lingual transfer.Current applications…
Large Language Models for Knowledge Graph Embedding: A Survey
Bingchen Liu, Yuanyuan Fang, Naixing Xu +3
Large language models (LLMs) have garnered significant attention for their superior performance in many knowledge-driven applications on the world wide web.These models are designe…
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning
Naixing Xu, Qian Li, Xu Wang +2
Knowledge graph (KG) embedding methods map entities and relations into continuous vector spaces, improving performance in tasks like link prediction and question answering. With ri…