AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper proposes ATGNN-SP, a drift-gated stable-plastic temporal graph neural network for real-time-compatible fraud scoring, a drift-gated stable-plastic temporal graph neural network for real-time-compatible fraud scoring.
The first use of an evidence-grounded debate mechanism for accounting fraud, which materially reduces LLM hallucination, is used and results over multiple seeds are reported to reflect real-world stochasticity and discuss limitations and cross-domain applications.
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