Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers

27 Apr 2019Zhanfu YangFei WangZiliang ChenGuannan WeiTiark Rompf

In this paper, we investigate the feasibility of learning GNN (Graph Neural Network) based solvers and GNN-based heuristics for specified QBF (Quantified Boolean Formula) problems. We design and evaluate several GNN architectures for 2QBF formulae, and conjecture that GNN has limitations in learning 2QBF solvers... (read more)

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