Comparative Study of Graph Neural Networks and Traditional Machine Learning for Complex Data Structures
Abstract
Graph neural networks (GNNs) have revolutionized the processing of non-Euclidean data, offering significant improvements over traditional ML models for structured data. This paper presents a comparative analysis of GNNs and traditional machine learning models, such as random forests and support vector machines, in applications involving social networks, fraud detection, and biological systems. We evaluate their effectiveness in learning relationships, scalability, and computational cost. The findings highlight scenarios where GNNs outperform classical approaches and provide insights into their practical deployment.
References
Sadaram, G., Karaka, L. M., Maka, S. R., Sakuru, M., Boppana, S. B., & Katnapally, N. (2024). AI-Powered Cyber Threat Detection: Leveraging Machine Learning for Real-Time Anomaly Identification and Threat Mitigation. MSW Management Journal, 34(2), 788-803.
Krishna Madhav, J., Varun, B., Niharika, K., Srinivasa Rao, M., & Laxmana Murthy, K. (2023). Optimising Sales Forecasts in ERP Systems Using Machine Learning and Predictive Analytics. J Contemp Edu Theo Artific Intel: JCETAI-104.
Sadaram, G., Sakuru, M., Karaka, L. M., Reddy, M. S., Bodepudi, V., Boppana, S. B., & Maka, S. R. (2022). Internet of Things (IoT) Cybersecurity Enhancement through Artificial Intelligence: A Study on Intrusion Detection Systems. Universal Library of Engineering Technology, (2022).
Jha, K. M., Velaga, V., Routhu, K. K., Sadaram, G., & Boppana, S. B. (2025). Evaluating the Effectiveness of Machine Learning for Heart Disease Prediction in Healthcare Sector. J Cardiobiol, 9(1), 1.
Maka, S. R. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Available at SSRN 5116707.
Karaka, L. M. (2021). Optimising Product Enhancements Strategic Approaches to Managing Complexity. Available at SSRN 5147875.
KishanKumar Routhu, A. D. P. Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices.
Routhu, KishanKumar & Katnapally, Niharika & Sakuru, Manikanth. (2023). Machine Learning for Cyber Defense: A Comparative Analysis of Supervised and Unsupervised Learning Approaches. Journal for ReAttach Therapy and Developmental Diversities. 6. 10.53555/jrtdd.v6i10s(2).3481.
Chinta, Purna Chandra Rao & Moore, Chethan Sriharsha. (2023). Cloud-Based AI and Big Data Analytics for Real-Time Business Decision-Making. 36. 96-123. 10.47363/JAICC/2023.
