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#classifier-guidance

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papersTODAY 04:00 UTC

ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation

A new arXiv paper introduces ProtoGuide, a method for steering class-conditional graph generation without baking the class label into the denoiser during training. Instead of embedding the conditioning signal into the model, the approach uses prototypes to guide sampling, which decouples the conditioning mechanism from any particular trained model. This makes it possible to add or change class conditioning on top of existing discrete diffusion generators rather than retraining them.

graph-generation/diffusion-models/research/classifier-guidance