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大型 kPlex 的快速枚举

Fast Enumeration of Large k­Plexes
课程网址: http://videolectures.net/kdd2017_firmani_large_kplexes/  
主讲教师: Donatella Firmani
开课单位: 罗马第三大学
开课时间: 2017-10-09
课程语种: 英语
中文简介:
k-plex 是一种在任何类型的网络中定义社区的正式而灵活的方式。它概括了 clique 的概念,并且在大多数实际情况下更合适:当 clique C 的一个节点连接到 C 的所有其他节点时,k-plex 的一个节点可能会丢失 k 个连接。不幸的是,计算所有最大 k-plex 是一项艰巨的任务,而且最先进的算法只能处理小型网络。在本文中,我们提出了一种枚举网络中大型 k-plex 的新方法,该方法通过利用以下方法将搜索速度提高几个数量级:(i) 大大减少搜索空间的方法和 (ii) 计算最大值的有效技术拉帮结派。
课程简介: The k-plex is a formal yet flexible way of defining communities in any kind of network. It generalizes the notion of clique and is more appropriate in most real cases: while a node of a clique C is connected to all other nodes of C, a node of a k-plex may miss k connections. Unfortunately, computing all maximal k-plexes is a gruesome task and state of the art algorithms can only process small-size networks. In this paper we propose a new approach for enumerating large k-plexes in networks that speeds up the search of several orders of magnitude by leveraging: (i) methods for strongly reducing the search space and (ii) efficient techniques for the computation of maximal cliques. Several experiments show that our strategy is effective and is able to increase the size of the networks for which the computation of large k-plexes is feasible from a few hundred to several hundred thousand nodes.
关 键 词: 快速枚举; 枚举网络; 数据科学
课程来源: 视频讲座网
数据采集: 2023-12-26:wujk
最后编审: 2023-12-26:wujk
阅读次数: 24