AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results indicate that combining meta-initialization, nonlinear constraint shaping, and topology-aware action masking improves stationary optimization and disturbance recovery within the controlled simulator.
VisAdj is a new framework for topology-aware adjacency prediction that introduces an attention-sparse neighbor sampler to adaptively select a high-recall set of candidate node pairs and performs joint edge inference using a line-graph transformer that treats candidate edges as tokens and explicitly models dependencies...
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