Author

Xinran Yue

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#graph neural networks Open access Sep 2026

Adaptive Temporal Graph Neural Networks for Real-Time Financial Fraud Detection under Concept Drift

Financial fraud detectors operate in a non-stationary environment in which illicit actors adapt, class prevalence changes, and labels arrive after investigation. This paper proposes ATGNN-SP, a drift-gated stable-plastic temporal graph neural network for real-time-compatible fraud scoring. Each directed transaction sna...

Xin-Ran Yue, Jing-Yun Yang, Ru-Feng Zhu et al. · Highlights in Business, Econ... · 0 citations

Open access Jul 2026

FraudDebate-Agent: A Multi-Agent LLM Framework with an Evidence-Based Debate Mechanism for Financial Statement Fraud Detection

Financial statement fraud inflicts large and recurring losses on capital markets, yet the dominant detection paradigm still relies on single, black-box classifiers (e.g., RUSBoost) trained on structured accounting ratios alone. Two limitations follow: (i) the rich, unstructured Management Discussion and Analysis (MD&A)...

Xinran Yue, Jingyun Yang, Wenhe Liu · Mathematics · 0 citations