DAMG 6310 — Knowledge Graphs with Generative AI and Graph Databases
4 semester hoursGraduateLecture
Examines the intersection of large language models and graph databases within the framework of knowledge graphs. Emphasizes their synergistic potential in modern data engineering and AI. Presents a foundational understanding of LLMs, graph theory, and graph database technologies, focusing on natural language processing, semantic search, and intelligent data systems. Covers graph modeling, graph analytics, and approaches to embedding unstructured and structured data in graph-based architectures. Incorporates current research, applied case studies, and project-based learning to support the design and implementation of advanced, graph-enabled AI solutions.