A graph-neural-network-scored expansion and grafting operator modestly improves genetic programming success rates on symbolic regression, though not consistently across all population sizes.
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Learning Semantics-aware Search Operators for Genetic Programming
A graph-neural-network-scored expansion and grafting operator modestly improves genetic programming success rates on symbolic regression, though not consistently across all population sizes.