Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve +1

We introduce a multi-tasking graph convolutional neural network, HydraGNN, to simultaneously predict both global and atomic physical properties and demonstrate with ferromagnetic m…