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arXiv · 2005.13406

Neural heuristics for SAT solving

Sebastian Jaszczur·Michał Łuszczyk·Henryk Michalewski
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Abstract

We use neural graph networks with a message-passing architecture and an attention mechanism to enhance the branching heuristic in two SAT-solving algorithms. We report improvements of learned neural heuristics compared with two standard human-designed heuristics.

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Sebastian Jaszczur, Michał Łuszczyk, Henryk Michalewski. 2020-05-27. Neural heuristics for SAT solving. https://arxiv.org/abs/2005.13406

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