Overview

Generative AI, Large Language Models, Graph Neural Networks and Knowledge Graphs Applications offers readers a thorough examination of the cutting-edge technologies that are shaping the future of artificial intelligence. Through clear explanations and practical insights, this book bridges theoretical concepts and real-world applications, helping professionals, researchers, and academics understand and implement advanced AI solutions. With a focus on the foundational principles of Generative AI, LLMs, GNNs, and Knowledge Graphs, the text emphasizes their collaborative potential and provides guidance for solving complex problems across multiple disciplines. The book also stands out for its emphasis on hands-on learning, featuring practical examples and case studies from industries such as healthcare and finance. It highlights interdisciplinary applications, demonstrating how these technologies can be leveraged to address real-world challenges. Readers benefit from comprehensive coverage of each topic, deep dives into their interconnections, and actionable strategies for staying at the forefront of AI advancements.

Full Product Details

Author:   Abdulhamit Subasi (Institute of Biomedicine, Faculty of Medicine, University of Turku, Turku, Finland Department of Computer Science, College of Engineering, Effat University, Jeddah, Saudi Arabia)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443445972

ISBN 10:   0443445974
Pages:   500
Publication Date:   21 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

PART I: Key Technologies and Methodologies 1. Deep Learning and Neural Networks 2. Generative Models in Depth 3. Transformers and Attention Mechanisms 4. Understanding Large Language Models (LLMs) 5. Graph Neural Networks (GNNs) and Knowledge Graphs 6. Combining Generative AI and Large Language Models 7. Enhancing Knowledge Graphs with Generative AI 8. Graph Neural Networks for Knowledge Representation 9. AI-Powered Multimodal Systems: Combining Text, Graphs, and Images PART II: Practical Applications and Case Studies in Healthcare 10. Alzheimer's Disease detection using KG, GNN and LLMs 11. Schizophrenia detection using KG, GNN and LLMs 12. Bipolar Disorder detection using KG, GNN and LLMs 13. Depression detection using KG, GNN and LLMs 14. Diabetes detection using KG, GNN and LLMs 15. Obesity detection using KG, GNN and LLMs 16. Coronary Artery Disease detection using KG, GNN and LLMs 17. Hypertension detection using KG, GNN and LLMs 18. Rheumatoid Arthritis detection using KG, GNN and LLMs 19. Systemic Lupus Erythematosus detection using KG, GNN and LLMs 20. Breast Cancer detection using KG, GNN and LLMs 21. Prostate Cancer detection using KG, GNN and LLMs 22. Colorectal Cancer detection using KG, GNN and LLMs 23. Parkinson's Disease detection using KG, GNN and LLMs 24. Amyotrophic Lateral Sclerosis detection using KG, GNN and LLMs 25. scRNA analysis using KG, GNN and LLMs 26. Social Media Text as a Tool for Monitoring Public Mental Health Trends: A Sentiment Analysis PART III: Practical Applications and Case Studies in Cybersecurity 27. Malware Analysis using KG, GNN and LLMs 28. DDoS attack dataset against EV authentication using KG and GNN 29. Attack detection in Internet of Medical Things using KG and GNN 30. IDS in Internet of Vehicles (IoV) using KGs and GNN 31. EV charger attack detection using KG and GNN 32. Automatic Reasoning for Fact Verification Using KGs and Language Models 33. Attack detection in IoT environment using KGs and LLMs 34. Modbus attack detection using KG and GNN 35. LLM-based models to assess the accuracy of real/fake tweet detection

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Author Information

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Processing. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. His career has spanned various prestigious institutions, including the Georgia Institute of Technology in Georgia, USA, where he served as a dedicated researcher. In recognition of his outstanding research contributions, Subasi received the prestigious Queen Effat Award for Excellence in Research in May 2018. His academic journey includes a tenure as a Professor of computer science at Effat University in Jeddah, Saudi Arabia, from 2015 to 2020. Since 2020, he has assumed the role of Professor of medical physics at the Faculty of Medicine, University of Turku in Turku, Finland

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