Elsevier Generative AI, Large Language Models, Graph Neural Networks and Knowledge Graphs Applications (Artificial Intelligence Applications in Healthcare and Medicine)

Generative AI, Large Language Models, Graph Neural Networks, and Knowledge Graphs Applications provides a comprehensive exploration of the transformative technologies reshaping artificial intelligence. The book bridges the gap between advanced AI concepts and their real-world applications, offering readers a robust understanding of how these technologies can solve complex, interdisciplinary problems. Sections cover the foundational principles of Generative AI, LLMs, GNNs, and Knowledge Graphs, highlighting their interconnections and collaborative potential. Through practical examples and real-world case studies, the book illustrates their applications across diverse fields such as healthcare and finance, making complex concepts accessible and actionable. For academics, researchers, and industry professionals, it offers invaluable insights and practical guidance. By emphasizing hands-on learning and clear explanations, users will find the knowledge and skills necessary to navigate and implement cutting-edge AI technologies, thus ensuring they remain at the forefront of this rapidly evolving field. Provides a thorough examination of Generative AI, Large Language Models, Graph Neural Networks, and Knowledge Graphs, including foundational concepts and advanced applications across various fields Includes practical examples and real-world case studies, allowing readers to directly implement the technologies discussed and bridge the gap between theory and application Provides accessible content for both newcomers in AI and experienced professionals