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),