NODE DISAMBIGUATION

A data processing system for implementing a machine learning process in dependence on a graph neural network, the system being configured to receive a plurality of input graphs each having a plurality of nodes, at least some of the nodes having an attribute, the system being configured to: for at least one graph of the input graphs: determine one or more sets of nodes of the plurality of nodes, the nodes of each set having identical attributes; for each set, assign a label to each of the nodes of that set so that each node of a set has a different label from the other nodes of that set; process the sets to form an aggregate value; and implement the machine learning process taking as input: (i) the input graphs with the exception of the said sets and (ii) the aggregate value.