Series Preface xxvii
Preface xxix

Part I: Conceptual Foundations and Learning Frameworks 1

1 Introduction to Graph Neural Networks 3
K. Sangeetha and P. Solairani

2 Graph Theory Foundations for Neural Network Models 43
Nidhi Asthana, Divya Gautam and Gaurav Paliwal

3 Message Passing Techniques in Graph-Based Learning 101
Kulkarni Manjusha Manikrao and Savitha Hiremath

4 Architectures Defining Graph Neural Networks: Capitalizing on the Potential of GNN's for Real-World Solutions 143
A. Priyadharshini and Saju Mathew

Part II: Ethical Models, Scalability, and Architectural Challenges 181

5 Ethical Considerations in Graph-Based Learning Models 183
Aaquil Bunglowala and Gaurav Paliwal

6 Graph Neural Network: Scalability Challenges in Large-Scale Graph Neural Network 243
Abubakar Nadaf and Shivagonda Patil

7 Challenges in Large-Scale Graph Neural Networks in Topological Indices on Family of Graphs 283
Senbagamalar J. and Ramani M.S.

8 Large-Scale AI Systems Leveraging Graph Neural Networks (GNNs) 315
Gaurav Paliwal, Divya Gautam and Nidhi Asthana

Part III: Domain-Specific Applications of GNNs 367

9 Optimizing Federated Learning Using Graph Neural Networks 369
M. Indira, C. Victoria Priscilla and V. Rekha

10 Scientific Computing Applications of Graph Neural Networks 411
Meenakshi S., Joshika Pradeep A. P. and Rowthri M.

11 Enhanced Integrated Spatio-Temporal Graph Convolutional Network for Accurate and Efficient Traffic Prediction 459
Tintu George, Ginne M. James and A. Senthil Kumar

12 Crowd Analytics Using Graph Neural Networks: Improving the Accuracy of People Counting 495
M. Deepadharshana and S. Vijayarani

13 Stratified Sampling and Graph Neural Networks for Zero-Day Attack Detection 539
Karthika S., Sandhiya R. and A. Sumi

14 Graph-Based Anomaly Detection for Security Applications: Techniques, Challenges, and Future Directions 579
Divya Gautam, Nidhi Asthana and Gaurav Paliwal

15 Graph-Based Anomaly Detection in Cybersecurity and FinTech: Advancing Threat Intelligence with Graph Neural Networks 615
Sanjeev Khan, Nutan Pathania, Pawan Kumar and Vishal

16 Graph Neural Networks in Healthcare 663
S. Sathyanarayanan

17 Graph Neural Networks for Early Prediction of Osteoporosis Disease 701
T. Mathankumar and S. Vijayarani

18 Learning Behavioral Patterns for Autism Prediction with Graph Neural Networks 741
Deepa B. and K. S. Jeen Marseline

Part IV: Research Analytics, Optimization, and Software Assurance 759

19 Emerging Trends and Collaborative Networks in Indian Graph Neural Networks Research: A Bibliometric Analysis 761
Muthukrishnan M., Ghouse Modin Nabeesab Mamdapur, Saravanan S. and Parasakthi D.

20 Graph Neural Networks for Optimization: A New Paradigm in Complex Problem Solving 797
Spelmen Vimalraj Santhanam and Vignesh Ramamoorthy H.

21 Quality Assurance of Software Incorporating Graph Neural Networks for Defect Prediction 823
Medhunhashini D. R., K. S. Jeen Marseline and B. Varun

22 Future Research Directions in Graph Neural Networks 859
Valarmathi Viswanathan

References 902
Index 905