AINeutralarXiv – CS AI · 18h ago6/10
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A Topological Characterization of Graph Neural Networks via Stochastic Block Model Embeddings on the n-Sphere
Researchers propose a novel topological framework for analyzing and comparing trained Graph Neural Networks by mapping induced stochastic block models onto an n-dimensional sphere, creating low-dimensional 'fingerprints' that enable transfer-learning candidate retrieval across model zoos without retraining.