Neural heuristics for SAT solving

Sebastian Jaszczur, Michal Luszczyk, Henryk Michalewski

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.