Training the regressor guidance

[haoming-codes]

It appears that the regressor is trained on the real graphs, where as in the original guided diffusion paper, the classifier is trained on the noisy images. Is this intentional? Many thanks.

[cvignac]

We do train the regressor on the noisy data, as stated in the paper:

"Our method uses a regressor gη which is trained to predict target properties y of a clean graph G from a noisy version of G: gη(Gt) ≈ y(G)."

We are very happy of your interest in our work, but please double check the paper before opening Github issues :)

[haoming-codes]

Edit: I see the noising is done in Qm9RegressorDiscrete now. Sorry!