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Model generates only invalid solutions when trained without complete solution #1

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@yingycl

Hi,

Thank you for sharing the codebase. I am trying to reproduce the results by following the parameter settings described in the article. However, the trained model on the combinatorial auction dataset without complete solution only generates invalid solutions--either the outputs violate the constraints, or the solutions are all zeros (which are meaningless).

Could you please provide a more detailed training procedure for reproducing the results in this setting? Are there any additional tricks, specific parameter choices, or implementation details necessary to obtain valied results?

Thanks!

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