Abstract: Biomedical knowledge graph reasoning is capable of discovering hidden new knowledge based on existing biomedical data, providing ideas and references for new drug discovery, disease research ...

Family vacations are thrilling as they bring in new places, stunning views, and memories that count. Nevertheless, every ...

Abstract: Recently, the integration of large language models (LLMs) and knowledge graphs (KGs) is a research focal point, since they have complementary strengths and weaknesses for logical reasoning.

We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By “human precision”, we refer to ...