Julienne
发表于 2025-3-21 18:39:35
书目名称Complex Networks XIV影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0231502<br><br> <br><br>书目名称Complex Networks XIV读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0231502<br><br> <br><br>
palette
发表于 2025-3-21 21:39:02
Springer Proceedings in Complexityhttp://image.papertrans.cn/c/image/231502.jpg
inventory
发表于 2025-3-22 00:50:04
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HAWK
发表于 2025-3-22 06:38:30
https://doi.org/10.1007/0-387-33745-8 studied navigation strategies we obtained theoretical and numerical values for the graph mean first passage times as an indicator for the searching efficiency. The experiments with generated and real networks show that biasing based on inverse degree, persistence and local two-hop paths can lead to
Barter
发表于 2025-3-22 09:06:22
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有杂色
发表于 2025-3-22 15:51:59
https://doi.org/10.1007/0-387-33745-8iations between transcription factors and target genes, are responsible for representing and controlling this gene expression and regulate the response of an organism to environmental changes. In this paper, we extend the study of these systems by applying different community detection algorithms on
有杂色
发表于 2025-3-22 19:49:36
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photopsia
发表于 2025-3-22 22:49:50
Isotope Notation and Measurement,o a centrality measure and remove top nodes according to a budget. The goal is to exploit the network features efficiently to dismantle them with a minimal budget. Few works are linked to the network mesoscopic properties in the literature, although it is well-admitted that communities or core-perip
Atrium
发表于 2025-3-23 02:32:29
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云状
发表于 2025-3-23 08:39:54
Isotopic Properties of Selected Elements,M, a trainable algorithm for network dismantling via node-removal. The approach is based on Geometric Deep Learning and that merges the Graph Dismantling Machine (GDM) [.] framework with the CoreHD [.] algorithm, by attacking the 2-core of the network using a learnable score function in place of the