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cs.AI2023
Learning Reliable Logical Rules with SATNet
Zhaoyu Li, Jinpei Guo, Yuhe Jiang +1
Bridging logical reasoning and deep learning is crucial for advanced AI systems. In this work, we present a new framework that addresses this goal by generating interpretable and v…
cs.LG2023★ 1 cited
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks
Zhaoyu Li, Jinpei Guo, Xujie Si
Graph neural networks (GNNs) have recently emerged as a promising approach for solving the Boolean Satisfiability Problem (SAT), offering potential alternatives to traditional back…