In recent years, Knowledge Graphs (KGs) and Large Language Models (LLMs) have emerged as transformative tools for scientific research and knowledge discovery. This tutorial provides a comprehensive introduction to integrating these technologies to advance research in the life sciences and other scientific domains.

Over the tutorial of three hours, participants will explore the foundational principles of KGs and LLMs, their applications in the life sciences, and practical methodologies for their integration in Biomedical Natural Language Processing (BioNLP) tasks and scientific prediction tasks. The session will feature hands-on materials covering KG construction, LLM development, and techniques for incorporating domain-specific knowledge into LLMs. Attendees will gain insights into how KGs enhance the reasoning capabilities of LLMs and how LLMs can enrich and interpret scientific knowledge. 
By the end of this tutorial, participants will have a deep understanding of the synergy between KGs and LLMs and practical strategies to harness these tools for innovative scientific research and knowledge discovery.