Applied Graph Data Science

ISBN : 9780443296543

Author : Pethuru Raj

Publisher : Elsevier

Year : 2025

Language : English

Type : Book

Description : 1. Introduction to Graph neural network: A systematic review of trends, methods, and applications 2. Chronological Reasoning in Knowledge Graphs using AI and ML: A novel framework 3. Graph-based Approach on Financial Fraudulent Detection and Prediction 4. The Power of Graph Neural Networks: From Theory to Application 5. Delineating Graph Neural Networks (GNNs) and the Real-World Applications 6. Graph Techniques for Enhancing Knowledge Graph Integration: A Comprehensive Study and Applications 7. Graphs, Language Models, and NLP: The Future of Search Engines 8. Graph Data Science and ML techniques: Applications and future 9. Innovative Feature Engineering Methods for Graph Data Science 10. Graph Neural Networks: Insight and Applications 11. Graph-Theoretic Analysis for Eco-Efficient Textile Weaving Patterns 12. Quantum-assisted Graph Networks: Algorithmic Innovations and Optimization Strategies for Large-Scale Social Communities 13. Using physics-informed AI and graphbased quantum computing for natural catastrophic analysis: Future perspectives 14. Integrating Machine Learning and Deep Learning Algorithms in Knowledge Graph for Disease Screening and Cataloging: Tools and Approaches for Drug Invention and Additive Manufacturing 15. Analysing Social network with dynamic graphs: unravelling the ever-evolving connection 16. Transforming E-commerce with Graph Neural Networks: Enhancing Personalization, Security, and Business Growth 17. On Rings Domination in Soft Graphs 18. Graph Data Science: Applications and Future 19. Verification of MPI programs via compilation into Petri nets 20. Demonstration and Analysis of the Performance of Image Caption Generator: An Effort for Visually Impaired Candidates for Smart Cities 5.0

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