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Communication University of China
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Exact Aumann-Shapley attributions in GNNs are now achievable with a polynomial architecture, drastically improving fidelity while slashing computational costs.
Modeling relationships between image patches with graph neural networks substantially improves blind image quality assessment for ultra-high-definition images, achieving state-of-the-art results.
