Hello, I’d love to ask a bit open-ended question, but do you think that one can write a custom code to extend Modulus to support also graph neural networks? In particular, GNNs that can be used for simulating physics?
I was implementing a custom framework before stumbling on Modulus that followed a work done in this area from DeepMind (Learning to simulate). Afterwards we switched to Modulus since it has lot of stuff for solving practical problems in physics, but I just wonder if it’s possible to implement something like MeshGraphNets mentioned in DeepMind’s work in Modulus.