Large language models enhanced graph neural architecture search for quadratic unconstrained binary optimization

Quadratic unconstrained binary optimization (QUBO) refers to a subclass of unconstrained combinatorial optimization problems where the objective is to optimize a quadratic polynomial function over a set of binary variables without any explicit constraint. Recently, graph neural networks (GNNs) have...

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Vydáno v:	Knowledge-based systems Ročník 330; s. 114520
Hlavní autoři:	Zhang, Peng, Wu, Junxian, Yang, Hong, Zhou, Chuan, Tian, Zhihong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 25.11.2025
Témata:	Combinatorial optimization Graph neural architecture search Graph neural networks Large language models Quadratic unconstrained binary optimization Graph neural networks Graph neural architecture search Large language models Combinatorial optimization Quadratic unconstrained binary optimization
ISSN:	0950-7051
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