Mengxue Yang

SLiNT: Structure-aware Language Model with Injection and Contrastive Training for Knowledge Graph Completion

Link prediction in knowledge graphs (KGs) requires integrating structural information and semantic context to infer missing entities. While large language models (LLMs) offer strong generative reasoning capabilities, their limited exploitation of structural signals often results in *structural spars