GraphML and LLMs
In the rapidly evolving field of artificial intelligence, the convergence of Graph Machine Learning (GraphML) and Large Language Models (LLMs) represents a frontier rich with possibilities. This chapter explores how these two powerful technologies can be combined to unlock new insights and applications. From understanding context-rich relationships in text to enabling enhanced reasoning capabilities, this chapter aims to provide a comprehensive overview of state-of-the-art advancements in integrating GraphML and LLMs, before delving into theoretical insights and practical examples to illustrate their synergy.
In this chapter, we will:
- Provide an overview of the synergies between GraphML and LLMs.
- Illustrate the benefits of combining LLMs with graph-based approaches.
- Offer hands-on practical examples and code snippets to demonstrate these integrations.
- Highlight the challenges and opportunities in this emerging field.
