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Combinatorial optimization with physics-inspired graph neural networks

Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber

2022Nature Machine Intelligence190 citationsDOIOpen Access PDF

Topics & Concepts

Differentiable functionCombinatorial optimizationQuadratic unconstrained binary optimizationComputer scienceMaximum cutArtificial neural networkOptimization problemMathematical optimizationGraphTheoretical computer scienceMathematicsArtificial intelligenceAlgorithmQuantum computerQuantumQuantum mechanicsPhysicsMathematical analysisQuantum Computing Algorithms and ArchitectureMachine Learning in Materials ScienceAdvanced Graph Neural Networks
Combinatorial optimization with physics-inspired graph neural networks | Litcius