I would like to know if there is any example/tutorial available to build a GNN model (layers architecture) with Pytorch Geometric for a regression task using homogeneous graph and node level prediction?
I can't think of an example on top of my head, but usually it is not hart to convert a node classification task to a node regression task. It usually only involves changing the loss function.
🚀 The feature, motivation and pitch
Hello,
I would like to know if there is any example/tutorial available to build a GNN model (layers architecture) with Pytorch Geometric for a regression task using homogeneous graph and node level prediction?
I did not understood fully the suggestion in: https://github.com/pyg-team/pytorch_geometric/issues/3794
Thank you in advance!
Alternatives
No response
Additional context
No response