Author

Yanan Jiao

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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