ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation
Discrete diffusion models are a prominent family for graph generation, but standard class-conditional mechanisms embed the class signal in the denoiser during training, tying the conditioning mechanism to the trained model. Classifier guidance avoids this coupling in continuous domains by steering a frozen model with a...
Salvatore Romano, Marco Grassia, Pietro Liò et al.
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