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Shen-Ji Peng

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Conference Aug 2026

Cross-Graph Attention Fusion for Learning to Branch in Chance-Constrained MILPs

Learning to branch accelerates branch-and-bound (B&B) for mixed-integer linear programming (MILP) by replacing hand-designed variable-selection rules with data-driven policies. For the large-scale MILPs produced by the sample average approximation (SAA) of chance-constrained programming (CCP), recent work encodes each...

Ka Zhao, Fu-Hao Gao, Shen-Ji Peng et al. · 0 citations

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