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Geometric Representations of Dichotomous Ordinal Data

机译:二分法序数数据的几何表示

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Motivated by the study of ordinal embeddings in machine learning and by the recognition of Euclidean preferences in computational social science, we study the following problem. Given a graph G, together with a set of relationships between pairs of edges, each specifying that an edge must be longer than another edge, is it possible to construct a straight-line drawing of G satisfying all these relationships? We mainly consider a dichotomous setting, in which edges are partitioned into short and long, as otherwise there are simple (planar) instances that do not admit a solution. Since the problem is NP-hard even in this setting, we study under which conditions a solution always exists. We prove that degeneracy-2 graphs, subcubic graphs, double-wheels, and 4-colorable graphs in which the short edges induce a caterpillar always admit a realization. These positive results are complemented by negative instances, even when the input graph is composed of a maximal planar graph, namely a double-wheel graph, and an edge. We conjecture that planar graphs always admit a (not necessarily planar) realization in the dichotomous setting.
机译:出于对机器学习中的有序嵌入的研究以及对计算社会科学中欧几里德偏好的认识的推动,我们研究了以下问题。给定一个图形G,以及成对的边对之间的一组关系,每条边都指定一个边必须比另一个边长,是否可以构造一个满足所有这些关系的G的直线图?我们主要考虑一个二分法设置,其中将边缘分为短和长,否则会有简单的(平面)实例不接受解决方案。由于即使在这种情况下问题也是NP难题,因此我们研究在哪种条件下始终存在解决方案。我们证明简并2图,次三次图,双轮图和4色图(其中短边引起毛毛虫)始终可以实现。即使输入图由最大平面图(即双轮图和边缘)组成,这些肯定的结果也会由否定的实例补充。我们猜想平面图总是在二分法下接受(不一定是平面)实现。

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