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Combinatorial Optimization and Reasoning with Graph Neural Networks., , , , , and . J. Mach. Learn. Res., (2023)The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights., , , , , , , , , and 31 other author(s). CoRR, (2022)Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems., , , and . ISGT EUROPE, page 1-5. IEEE, (2023)The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights., , , , , , , , , and 32 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 220-231. PMLR, (2021)Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers., , , , , and . CoRR, (2020)Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems., , and . CoRR, (2023)Change Point Detection by Cross-Entropy Maximization., , and . CoRR, (2020)Learning to Branch with Tree MDPs., , , , , , and . NeurIPS, (2022)Ecole: A Library for Learning Inside MILP Solvers., , , , and . CoRR, (2021)Lookback for Learning to Branch., , , , , , and . CoRR, (2022)