Ajagun Abimbola Susan

Adversarially Robust and Explainable Graph Neural Networks for Fraud Detection in Dynamic Blockchain Networks: A Problem-Based Systematic Literature Review

Graph Neural Networks (GNNs) have emerged as an effective approach for blockchain fraud detection because they can model complex relationships among transactions and participating entities. However, existing GNN-based approaches remain limited by vulnerability to adversarial manipulation, limited explainability, contin...