Is there a way to dynamically update node types in a Graph Neural Network (GNN) when certain attribute values exceed predefined constraints? I have a graph where each node has a type, but if an attribute violates a constraint, the node’s type should change accordingly. How can this be implemented efficiently within a GNN framework?
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