Graph Neural Networks for Intelligent Fraud Detection Internship

About Internship

Assistant Professor, Department of Computer Science Engineering, from Ramdeobaba University, is accepting interns interested in the field of Computer Science Engineering, in the research area of Deep learning.

This internship provides an opportunity to explore cutting-edge applications of deep learning in financial security, with a focus on Graph Neural Networks (GNNs) for fraud detection. Selected interns will: 1. Conduct a comprehensive literature review on graph-based deep learning approaches and their applications in fraud detection. 2. Gain hands-on experience in the implementation and optimization of GNN models for detecting fraudulent patterns in complex, networked data. 3. Contribute to research documentation and scientific manuscript preparation, with potential opportunities for publication in reputed journals or conferences.