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MotifRole-Diff proposes a role-aware corruption schedule for masked discrete diffusion on molecular graphs, allocating masking rates based on denoising difficulty and graph-level perturbation impact, demonstrating improved validity and reduced FCD on QM9 and MOSES benchmarks.