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three ILP benchmarks

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1papers using it
2025first seen

The "three ILP benchmarks" consist of datasets used to evaluate the performance of optimization algorithms on Integer Linear Programs (ILPs) in order to assess the effectiveness of various learning approaches, particularly those involving Graph Neural Networks (GNNs).

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Papers using three ILP benchmarks (1)

three ILP benchmarks — datasets — graph-learning