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Deep learning isn't always the answer; classical PCA can outperform complex models in certain single-cell clustering scenarios.
Heterophilic graphs can inflate prediction set sizes by over 10%, but HeAD-CP effectively mitigates this issue with tailored diffusion strategies.
