LapDDPM: Spectral Perturbation Diffusion for Robust Single-Cell Manifold Generation
LapDDPM is introduced, a novel conditional Graph Diffusion Probabilistic Model designed for robust manifold learning and high-fidelity generation that significantly outperforms state-of-the-art baselines in distribution matching, manifold preservation, and downstream utility.
Lorenzo Bini, Stéphane Marchand-Maillet
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