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A key node detection method assisted by multi-layer surrogate model and multi-dimensional network features in complex networks
DOI:10.1016/j.asoc.2026.114803.png)
摘要
En 中文
● 首先,本文提出了一种基于多层数据代理模型的网络性能评估策略。
● 其次,提出了一种自适应的多维网络特征搜索策略,用于评估网络特征和节点的重要性。
● 最后,提出了一种多模态优化驱动的关键节点选择策略,用于评估节点的影响。
Keyword:
key node detection
multi-layer surrogate model
multi-dimensional network features
complex networks
network performance evaluation
期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization代理辅助粒子群优化分类中特征选择的相关性引导更新策略
Node importance evaluation in heterogeneous network based on attention mechanism and graph contrastive learning基于注意力机制和图对比学习的异构网络节点重要性评估
NEUROCOMPUTING
IF6.5

