AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is shown that minimization in the value-oracle model requires exponentially many oracle queries, so a simple family of submodular functions for every fixed formula is given.
This work introduces a non-linear Laplacian operator specific to signed and directed networks (NLSD) and proposes an efficient spectral GNN framework (NLSD-GNN), which not only integrates signed and directional data effectively but also achieves superior performance across diverse datasets.
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