Hi everyone, I am just getting started with GNNs and I apologize in advance if my question is obvious or ill-posed. Suppose that we know the label of some nodes in a classification/regression problem on a graph at test time. Is there any way of enforcing the prediction by the GNN to be exactly equal to the given label for those nodes of the graph?
To give you some context, I am trying to train a network to reproduce simulation data on a mesh similarly to what’s done in https://arxiv.org/pdf/2010.03409.pdf. Given the value of the solution at a timestep, I want to find the next solution but I would also like to exploit the fact that I know the value of the next solution at some nodes (because the boundary conditions are provided),