Open access
Jul 2026
Fraud learns too: continual graph learning under strategic adversarial drift in dynamic networks
Game Theoretic Anticipatory Continual Graph Learning (GT-ACGL), a framework that casts fraud detection as a continuous Stackelberg game between a defender and an adaptive adversary, and encourages decision boundaries that remain comparatively stable under strategic structural perturbation.
Hui-Jie Fan, Yanan Jiao, M. Wang et al.
· Scientific Reports · 1 citation