May 15, 2021 · This work focuses on applying Bayesian optimization to optimize network structure with graph-structured inputs, and presents a flexible framework.
Intensive experiments conducted on three real-world applications, including robust network design, the most active node identification, and urban transportation ...
A novel framework of graph Bayesian optimization and its applications to ...
ouci.dntb.gov.ua › works
A novel framework of graph Bayesian optimization and its applications to real-world network analysis. https://doi.org/10.1016/j.eswa.2020.114524 ·.
A novel framework GBO for the graph structure optimization has been proposed. • Both structural information and global information on graphs are explored by GBO ...
A novel framework of graph bayesian optimization and its applications to real-world network analysis. Expert Systems with Applications, 170 (114524), 2021.
A Novel Framework of Graph Bayesian Optimization and. Its Applications to Real-World Network Analysis. Expert Systems with Applications (ESWA). 2021, 170 ...
Expert Systems with Applications. 4 years ago. A Novel Framework of Graph Bayesian Optimization and Its Applications to Real-World Network Analysis. Jiaxu Cui ...
A novel framework of graph Bayesian optimization and its applications to real-world network analysis. J Cui, Q Tan, C Zhang, B Yang. Expert Systems with ...
May 30, 2024 · To fill this gap, we propose a novel Bayesian optimisation framework that optimises over functions defined on generic, large-scale and ...
People also ask
What are the applications of Bayesian optimization?
What is graph based optimization?
Is Bayesian Optimization Global Optimization?
To fill this gap, we propose a novel Bayesian optimisation framework that optimises over functions defined on generic, large-scale and potentially unknown ...