標題: Titlebook: Cohesive Subgraph Search Over Large Heterogeneous Information Networks; Yixiang Fang,Kai Wang,Wenjie Zhang Book 2022 The Author(s), under [打印本頁] 作者: 惡夢 時間: 2025-3-21 19:30
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書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks影響因子(影響力)學科排名
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書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks網(wǎng)絡公開度學科排名
書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks被引頻次
書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks被引頻次學科排名
書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks年度引用
書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks年度引用學科排名
書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks讀者反饋
書目名稱Cohesive Subgraph Search Over Large Heterogeneous Information Networks讀者反饋學科排名
作者: Fibrillation 時間: 2025-3-21 21:07 作者: 血統(tǒng) 時間: 2025-3-22 04:05
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作者: Urgency 時間: 2025-3-22 06:05
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作者: echnic 時間: 2025-3-22 11:40
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作者: machination 時間: 2025-3-22 13:01 作者: machination 時間: 2025-3-22 18:16 作者: 哪有黃油 時間: 2025-3-23 01:09 作者: 大量殺死 時間: 2025-3-23 01:24
Cohesive Subgraph Search Over Large Heterogeneous Information Networks978-3-030-97568-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: 吵鬧 時間: 2025-3-23 07:50
https://doi.org/10.1007/978-3-030-97568-5cohesive subgraph search; heterogeneous information networks; heterogeneous graphs; dense subgraphs; gra作者: 性學院 時間: 2025-3-23 13:36
978-3-030-97567-8The Author(s), under exclusive license to Springer Nature Switzerland AG 2022作者: Pigeon 時間: 2025-3-23 15:29
Introduction, first show a list of example HINs and typical applications of CSS over large HINs, then discuss the two key challenges of conducting CSS over large HINs, and finally make a classification of existing works according to the classic cohesiveness metrics.作者: Consequence 時間: 2025-3-23 21:32 作者: MONY 時間: 2025-3-24 01:09
Comparison Analysis,comparison of these works. In this chapter, we perform an in-depth comparison analysis of all the CSMs and solutions for bipartite networks and other general HINs respectively. We carefully analyze the advantages and disadvantages of these CSMs and solutions, in terms of their computational complexities and application scenarios.作者: 使成波狀 時間: 2025-3-24 05:55
Future Work and Conclusion,cluding novel application-driven CSMs, efficient search algorithms, parameter optimization, and an online repository for collecting HIN datasets, tools, and algorithm codes, which can provide researchers some good starting points to work in this area. In addition, we draw a brief conclusion for the book.作者: Anthropoid 時間: 2025-3-24 09:28 作者: ascend 時間: 2025-3-24 11:33
2191-5768 formation networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years. This SpringerBrief offers a list of promising future research directions of performing CSS over large HINs..The authors first classify the existing 作者: 離開可分裂 時間: 2025-3-24 14:51
Harry T. Lawless,Hildegarde Heymanndels of HINs and bipartite networks, and then review several typical classic CSMs on homogeneous networks, including .-core, .-truss, .-clique, .-edge-connectivity component (.-ECC), and the densest subgraphs.作者: 預感 時間: 2025-3-24 22:26
Timothy J. Cunningham,E. Hazel Murphyd to the these of CSS over large HINs. In this chapter, we thoroughly review the five groups of works on CSS on homogeneous networks, which are core-, truss-, clique-, connectivity-, and density-based CSMs and solutions. In addition, we also review the works on HIN clustering and compare it with the earlier version of this book.作者: 小母馬 時間: 2025-3-25 01:00
Preliminaries,dels of HINs and bipartite networks, and then review several typical classic CSMs on homogeneous networks, including .-core, .-truss, .-clique, .-edge-connectivity component (.-ECC), and the densest subgraphs.作者: Fulsome 時間: 2025-3-25 06:04
Related Work on CSMs and Solutions,d to the these of CSS over large HINs. In this chapter, we thoroughly review the five groups of works on CSS on homogeneous networks, which are core-, truss-, clique-, connectivity-, and density-based CSMs and solutions. In addition, we also review the works on HIN clustering and compare it with the earlier version of this book.作者: grenade 時間: 2025-3-25 09:59
Sensory Evaluation in Quality Control first show a list of example HINs and typical applications of CSS over large HINs, then discuss the two key challenges of conducting CSS over large HINs, and finally make a classification of existing works according to the classic cohesiveness metrics.作者: 護身符 時間: 2025-3-25 14:57 作者: Cumbersome 時間: 2025-3-25 17:01 作者: fidelity 時間: 2025-3-25 21:50 作者: 收藏品 時間: 2025-3-26 01:35
Cohesive Subgraph Search Over Large Heterogeneous Information Networks作者: 使激動 時間: 2025-3-26 04:22
2191-5768 utions systematically. Specifically, the authors compare different groups of CSMs and analyze both their similarities and differences, from multiple perspective978-3-030-97567-8978-3-030-97568-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: Devastate 時間: 2025-3-26 10:08 作者: Infusion 時間: 2025-3-26 15:32 作者: 虛弱的神經(jīng) 時間: 2025-3-26 19:17 作者: Incorruptible 時間: 2025-3-26 23:46
Introduction,ing CSS over large HINs, which has found a large number of real applications. In this chapter, we focus on providing the necessary background of CSS over large HINs, and give an introduction to the research field to highlight the popularity and applications in the topic of CSS. More specifically, we作者: Cervical-Spine 時間: 2025-3-27 03:24 作者: 瑣碎 時間: 2025-3-27 09:08
CSS on Bipartite Networks,y 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作者: Intend 時間: 2025-3-27 11:36
CSS on Other General HINs,, 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作者: MEEK 時間: 2025-3-27 17:14 作者: extemporaneous 時間: 2025-3-27 18:46 作者: 有機體 時間: 2025-3-28 00:24 作者: DECRY 時間: 2025-3-28 04:23
10樓作者: Infusion 時間: 2025-3-28 09:39
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