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T. K. M. Lee

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#graph neural networks Open access Sep 2026

A Hybrid Learning Framework for Automated SAT Solver Selection

Boolean Satisfiability (SAT) solving underlies a wide range of practical applications, including hardware verification, software testing, automated planning, and combinatorial design. Decades of engineering effort have produced highly optimised Conflict-Driven Clause Learning (CDCL) solvers, yet empirical studies consi...

Zishaan Ahmed, T. K. M. Lee · 0 citations
#graph neural networks Open access Sep 2026

A Hybrid Learning Framework for Automated SAT Solver Selection

Boolean Satisfiability (SAT) solving underlies a wide range of practical applications, including hardware verification, software testing, automated planning, and combinatorial design. Decades of engineering effort have produced highly optimised Conflict-Driven Clause Learning (CDCL) solvers, yet empirical studies consi...

Zishaan Ahmed, T. K. M. Lee · 0 citations

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