恶梦
发表于 2025-3-21 19:30:01
书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229242<br><br> <br><br>书目名称Cohesive Subgraph Search Over Large Heterogeneous Information Networks读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0229242<br><br> <br><br>
Fibrillation
发表于 2025-3-21 21:07:39
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血统
发表于 2025-3-22 04:05:52
Harry T. Lawless,Hildegarde Heymannhe presentation. Before reviewing the specific models and solutions in the following chapters, in this chapter we first formally introduce the data models of HINs and bipartite networks, and then review several typical classic CSMs on homogeneous networks, including .-core, .-truss, .-clique, .-edge
Urgency
发表于 2025-3-22 06:05:36
Harry T. Lawless,Hildegarde Heymanny modeled as bipartite networks. When analyzing bipartite networks, CSMs and CSS techniques play an important role in many aspects including network measurement, dense region discovering, and network reinforcement. To meet the high demands in the era of big data, novel CSMs and CSS solutions over bi
echnic
发表于 2025-3-22 11:40:36
Harry T. Lawless,Hildegarde Heymann, forming numerous, large, interconnected, and sophisticated networks, which are often called heterogeneous information networks (HINs) in the literature. For instance, Twitter contains 326 million monthly active users in over 160 countries, and they generate over 500 million daily tweets, including
machination
发表于 2025-3-22 13:01:17
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machination
发表于 2025-3-22 18:16:01
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哪有黄油
发表于 2025-3-23 01:09:35
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大量杀死
发表于 2025-3-23 01:24:55
Cohesive Subgraph Search Over Large Heterogeneous Information Networks978-3-030-97568-5Series ISSN 2191-5768 Series E-ISSN 2191-5776
吵闹
发表于 2025-3-23 07:50:43
https://doi.org/10.1007/978-3-030-97568-5cohesive subgraph search; heterogeneous information networks; heterogeneous graphs; dense subgraphs; gra