AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work characterises exactly when the layerwise bound is tight: equality holds if and only if some token pair attaining $\kappa(A)$ is mutually self-dominant - each of the two attends to itself at least as strongly as the other attends to it.
EntroPath is introduced, a manifold learning method that recovers geodesic geometry from data graphs through ensembles of diffusion paths that consistently matches or outperforms diffusion- and shortest-path-based methods, while remaining competitive with neighbourhood-preserving embeddings on local-structure metrics.
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