Explore how graph-based machine learning and generative AI converge to unlock richer, more structured intelligence. The session dives into the synergy between Graph Neural Networks and Large Language Models, revealing how structural encoding and graph embeddings can enhance performance in tasks like semantic search and entity extraction. Key challenges in scalability, preprocessing, and interpretability are addressed, along with a look at what’s next for graph-augmented AI systems.