Abstract: A computing system is provided comprising a processor and a memory storing instructions executable by the processor. The instructions are executable to, during a run-time phase, receive run-time input data that includes time series data indicating a state of a graph network at each of a series of time steps. The graph network includes a plurality of nodes, and at least one edge connecting pairs of the nodes. The run-time input data is input into a trained graph neural network to thereby cause the graph neural network to output a predicted state of the graph network at one or more future time steps.