23 citations · 28 across the 5 of their papers we have counts for
1 paper · 1 filter
Franco Alberto Cardillo, Hamza Khyari, Umberto Straccia
We proposes a novel method that enables Graph Neural Networks (GNNs) to solve SAT problems by leveraging a technique developed for applying GNNs to Mixed Integer Linear Programming…