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Learning to Cover Locally: Graph Neural Combinatorial Optimization under a Hard Information Horizon

arXiv:2610.00422v1 Announce Type: new Abstract: Neural combinatorial optimization typically assumes a centralized solver that reads the whole instance. We study the opposite: combinatorial optimization under a hard information horizon, where every node commits to its share of a global solution seei…

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  1. 2026-10-02 04:00 · arXiv stat.ML
    Learning to Cover Locally: Graph Neural Combinatorial Optimization under a Hard Information Horizon

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