Any example for node regression

Hi There,

I am wondering that is there any example for node regression in supervised learning? Since I notice that most of the tutorials are node classification tasks in semi-supervised learning manner.
To be specific, the problem setting could be a static graph structure (with a number of
training instances) associated with multi-dimension node features. We aim for predicting a single value from each node using a MLP as output layer.

Thank you for your time.

I think the general pipeline is the same as that for node classification. You only need to replace the loss function with one for regression, e.g. MSELoss.