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Spectral GNNs' generalization ability hinges on avoiding frequency amplification, and this paper provides a Fourier-domain lens to see it clearly.
Distance-based evaluations of generative models are biased by the "hubness" phenomenon in high-dimensional embeddings, but GICDM offers a fix that aligns better with human judgment.
