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Fully Dynamic Approximate k-Core Decomposition in Hypergraphs

机译:超图中完全动态的近似k核分解

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摘要

In this article, we design algorithms to maintain approximate core values in dynamic hypergraphs. This notion has been well studied for normal graphs in both static and dynamic setting. We generalize the problem to hypergraphs when edges can be inserted or deleted by an adversary.We consider two dynamic scenarios. In the first case, there are only insertions; and in the second case, there can be both insertions and deletions. In either case, the update time is poly-logarithmic in the number of nodes, with the insertion-only case boasting a better approximation ratio. We also perform extensive experiments on large real-world datasets, which demonstrate the accuracy and efficiency of our algorithms.
机译:在本文中,我们设计算法以维持动态超图中的近似核心值。这种概念已经很好地研究了静态和动态设置中的正常图表。当边缘可以通过敌人插入或删除时,我们概括了超图。我们考虑两个动态方案。在第一种情况下,只有插入;在第二种情况下,可以存在插入和删除。在任何一种情况下,更新时间都是节点数量的多对数,其中插入案例赋予更好的近似比。我们还对大型现实世界数据集进行了广泛的实验,展示了我们算法的准确性和效率。

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