Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks

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Abstract:

Inverse problems correspond to a certain type of optimization problems formulated over appropriate input distributions. Recently, there has been a growing interest in understanding the computational hardness of these optimization problems, not only in the worst case, but in an average-complexity sense under this same input distribution....More

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