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Neighborhood beautification: Graph layout through message passing

机译:邻域美化:通过消息传递进行图形布局

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Graph layout algorithms are used to compute aesthetic and useful visualizations of graphs. In general, for graphs with up to a few hundred nodes, force-directed layout algorithms produce good layouts. Unfortunately, for larger graphs, they often get stuck at local minima and have high computational complexity. In this paper, we introduce a novel message passing technique for graph layout. The key idea of our message passing technique is that an aesthetic layout can be obtained if each node independently suggests aesthetic placements of its neighbors. In other words, every node sends messages to its neighbors, indicating new and better positions for them. As a result, the new technique, which we call Neighborhood Beautification, provides a new perspective that turns out to give a useful trade-off between the excellent layout quality reached by force-directed methods and the fast runtime achieved by algebraic methods. Neighborhood Beautification reduces, in many cases, the computational cost of force-directed algorithms, since only interactions between neighboring nodes are considered. Experimentally, we show that Neighborhood Beautification produces high-quality layouts for grid-like graphs but is outperformed by force-directed algorithms in the case of more complex graphs. (C) 2017 Elsevier Ltd. All rights reserved.
机译:图形布局算法用于计算图形的美观和有用的可视化。通常,对于具有多达几百个节点的图,力导向布局算法可生成良好的布局。不幸的是,对于较大的图,它们经常卡在局部最小值上,并且具有很高的计算复杂度。在本文中,我们介绍了一种新颖的图布局消息传递技术。我们的消息传递技术的关键思想是,如果每个节点独立地建议其邻居的美学位置,则可以获得美学布局。换句话说,每个节点都向其邻居发送消息,为邻居指示新的更好的位置。结果,我们称为邻域美化的新技术提供了一个新的观点,事实证明,这种方法可以在力导向方法所达到的出色布局质量与代数方法所实现的快速运行时间之间做出有益的权衡。在许多情况下,邻域美化减少了强制控制算法的计算成本,因为仅考虑了相邻节点之间的交互。实验表明,邻域美化可为网格状图生成高质量的布局,但在更复杂的图情况下,其受力导向算法的表现优于其他方法。 (C)2017 Elsevier Ltd.保留所有权利。

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