AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A unified benchmarking platform consolidating 22 baselines spanning shallow ML, CNN, Transformer, graph neural network (GNN), and multimodal architectures under a standardized, reproducible pipeline for pedestrian-level place recognition in dense urban environments is released.
GeoDCD is introduced, a geometry-aware neural framework that uses spatial coordinates to initialize a learnable hierarchy and converts a trained nonlinear predictor into time-varying directed graphs through input-output Jacobian sensitivity analysis.
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