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书目名称Cohesive Subgraph Computation over Large Sparse Graphs影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229241<br><br> <br><br>书目名称Cohesive Subgraph Computation over Large Sparse Graphs读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0229241<br><br> <br><br>代理人 发表于 2025-3-21 22:28:10
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2365-5674 chniques for efficient cohesive subgraph computation.Source This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of ricPelago 发表于 2025-3-22 05:44:24
Book 2018information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an exhypertension 发表于 2025-3-22 11:58:59
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Introduction, are accumulated with data entities involving complex relationships. These data are usually modelled as . in view of the simple yet strong expressive power of graph model; that is, entities are represented by vertices and relationships are represented by edges.拥护 发表于 2025-3-23 03:11:32
Average Degree-Based Densest Subgraph Computation,terature. In Section ., we give preliminaries of densest subgraphs. Approximation algorithms and exact algorithms for computing the densest subgraph of a large input graph will be discussed in Section . and in Section ., respectively.Intruder 发表于 2025-3-23 07:17:11
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