Advancements in Graph Neural Networks and Knowledge Graph Construction

The chapter explores the increasing interest in Graph Neural Networks (GNNs) for calculating graph embeddings, especially in combination with LLMs, and the need for more practical insights for developers integrating graph technology into AI pipelines. It highlights a Neo4j demo showcasing a tool that simplifies constructing knowledge graphs from various sources like PDFs and web pages. The chapter emphasizes democratizing AI, the importance of structuring data into graphs, and the value of combining structured and unstructured data for comprehensive knowledge graphs in various industries.