Xiaochun Yang

Simple adaptive negative sampling can significantly boost the performance of knowledge graph foundation models on zero-shot completion tasks.

Injecting ontological knowledge into temporal knowledge graph extrapolation models can substantially boost performance, especially for sparsely connected entities.

LLMs can be made more effective at KBQA by strategically incorporating SLM-based KBC models into their reasoning process, and vice versa.