Due to the nature of query languange, there are limitation for LLMs to extract meaning and relationship within traditional record based system. Knowledge graph has been proven to improve the accuracy ...

Pursuing artificial intelligence for biomedical science, a.k.a. AI Scientist, draws increasing attention, where one common approach is to build a copilot agent driven by Large Language Models (LLMs).

Programming languages are constantly evolving to address modern challenges, drive innovation, and meet industry demands. As 2025 approaches, the programming landscape can now see the full potential of ...

To address this challenge, this study proposes a novel workflow fragment discovery mechanism, by exploring social relations of developers and services that are formed in a knowledge graph. Major ...

The inference of novel knowledge and new hypotheses from the current literature analysis is crucial in making new scientific discoveries. In bio-medicine, given the enormous amount of literature and ...