A differentiable MPNN approximates uniform facility location with provable guarantees and outperforms standard approximation algorithms while closing the gap to exact ILP solutions.
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Learning to Approximate Uniform Facility Location via Graph Neural Networks
A differentiable MPNN approximates uniform facility location with provable guarantees and outperforms standard approximation algorithms while closing the gap to exact ILP solutions.