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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Bibliographic Details

Published in:	Knowledge-based systems Vol. 330; p. 114520
Main Authors:	Zhang, Peng, Wu, Junxian, Yang, Hong, Zhou, Chuan, Tian, Zhihong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 25.11.2025
Subjects:	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
Online Access:	Get full text
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