Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
This research investigates the success of message-passing graph neural networks (MPNNs) in solving linear optimization problems. The authors demonstrate that MPNNs can mimic standard interior-point methods for these problems, which…
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