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.