4 papers
Structure-Internalized Rule Language Model for Faithful Knowledge Graph Reasoning
Xingrui Zhuo, Jiapu Wang, Manzong Huang +2
Knowledge Graph Reasoning (KGR) aims to discover latent facts by leveraging the structural evidence available in KGs, posing a challenge to the structural semantic understanding ca…
Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
Xiaonan Jing, Gongqing Wu, Xingrui Zhuo +2
Open-domain Relational Triplet Extraction (ORTE) aims to mine structured knowledge without predefined relation schemas. Large Language Models (LLMs) have advanced ORTE toward a pro…
Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
Xingrui Zhuo, Jiapu Wang, Gongqing Wu +4
Inductive Knowledge Graph Reasoning (KGR) aims to discover facts in open-domain KGs containing unknown entities and relations, which poses a challenge for KGR models in comprehendi…
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs
Xingrui Zhuo, Jiapu Wang, Gongqing Wu +2
Knowledge Graph Query Embedding (KGQE) aims to embed First-Order Logic (FOL) queries in a low-dimensional KG space for complex reasoning over incomplete KGs. To enhance the general…