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Rethinking the Capacity of Graph Neural Networks for Branching Strategy., , , , and . CoRR, (2024)HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10732-10781. PMLR, (2023)Provably Near-Optimal Balancing Policies for Multi-Echelon Stochastic Inventory Control Models., , , and . Math. Oper. Res., 42 (1): 256-276 (2017)On Representing Linear Programs by Graph Neural Networks., , , , and . CoRR, (2022)DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee., , , , , and . CoRR, (2023)The Lingering of Gradients: How to Reuse Gradients over Time., , and . CoRR, (2019)A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments., , , , , , , , and . AAAI, page 11160-11167. AAAI Press, (2021)Advance Service Reservations with Heterogeneous Customers., , and . Manag. Sci., 66 (7): 2929-2950 (2020)Multi-Priority Online Scheduling with Cancellations., and . Operations Research, 66 (1): 104-122 (2018)On Representing Mixed-Integer Linear Programs by Graph Neural Networks., , , and . ICLR, OpenReview.net, (2023)