AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a resistance-curvature-guided sampling framework built on ERC-LG, a curvature approximation method for large-scale graphs, which achieves the highest mean accuracy on six of seven real-world datasets in downstream node classification.
This study introduces discrete graph curvature, particularly Ollivier-Ricci curvature, as a measure of higher-order connectivity around an edge, and introduces a novel graph pooling method named RicciPool, utilizing the spectral clustering technique to learn a new cluster assignment matrix.
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