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P2 Shrub-depth: Capturing Height of Dense Graphs

Shrub-depth:捕捉稠密图的高度
LMCS vol.Volume 15, Issue 12019匹配度 2/10 · 该论文属于图论与逻辑/自动机理论,研究 shrub-depth 及 MSO1 转导层级,与用户关注的 PL→AI、AI→PL、浮点程序分析、贝叶斯程序分析及 LLM/Agent 均无直接关系,仅与形式化方法/逻辑有较远的理论背景关联。引用 6 inbox
Robert Ganian, Petr Hliněný, Jaroslav Nešetřil, Jan Obdržálek, Patrice Ossona de Mendez
crossref: 2026-09-10

AI 速览

一句话:综述 shrub-depth 的定义与性质,并用其刻画简单图 MSO1 转导层级的前 ω 层。

随着 tree-depth 及其在图算法与逻辑中应用的关注增加,一个自然问题是:稠密图是否也有类似且在图补运算下稳定的深度概念。2012 年提出的 shrub-depth 正是这样的图不变量,它与 clique-width 的关系类似于 tree-depth 与 tree-width 的关系。本文对 shrub-depth 的定义和基本性质进行深入综述,并重点讨论其逻辑层面;特别地,作者利用 shrub-depth 刻画了简单图 MSO1 转导层级中低于 ω 的层级。

问题
在 tree-depth 已被证明对稀疏图算法与逻辑很有用之后,稠密图是否存在在图补运算下稳定、同样有用的“深度”不变量,是一个自然问题;shrub-depth 提出后也需要对其定义、性质与逻辑应用作系统梳理。
方法
本文深入综述 shrub-depth 的定义与基本性质,并集中考察其逻辑方面,尤其是利用该不变量分析简单图上的 MSO1 转导层级。
评估
通过理论综述与逻辑刻画,论文展示了 shrub-depth 与 clique-width 的类比,并给出简单图 MSO1 转导层级低 ω 层的特征。
原文摘要(Abstract)

The recent increase of interest in the graph invariant called tree-depth and in its applications in algorithms and logic on graphs led to a natural question: is there an analogously useful "depth" notion also for dense graphs (say; one which is stable under graph complementation)? To this end, in a 2012 conference paper, a new notion of shrub-depth has been introduced, such that it is related to the established notion of clique-width in a similar way as tree-depth is related to tree-width. Since then shrub-depth has been successfully used in several research papers. Here we provide an in-depth review of the definition and basic properties of shrub-depth, and we focus on its logical aspects which turned out to be most useful. In particular, we use shrub-depth to give a characterization of the lower ${\omega}$ levels of the MSO1 transduction hierarchy of simple graphs.

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BibTeX
@article{paperbot833,
  title = {Shrub-depth: Capturing Height of Dense Graphs},
  author = {Robert Ganian and Petr Hliněný and Jaroslav Nešetřil and Jan Obdržálek and Patrice Ossona de Mendez},
  journal = {Logical Methods in Computer Science},
  volume = {Volume 15, Issue 1},
  year = {2019},
  doi = {10.23638/lmcs-15(1:7)2019}
}