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Arnaud Deza

2 accepted papers

2025

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

AAAI 2025technical

We present Learn2Aggregate, a machine learning (ML) framework for optimizing the generation of Chvatal-Gomory (CG) cuts in mixed integer linear programming (MILP). The framework trains a graph neural network to classify useful constraints for aggregation in CG cut generation. The ML-driven CG separa…