The Complexity of Regular Trail and Simple Path Queries on Undirected Graphs

W. Martens, Tina Popp
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引用次数: 2

Abstract

We study the data complexity of regular trail and simple path queries on undirected graphs. Using techniques from structural graph theory, ranging from the graph minor theorem to group-labeled graphs, we are able to identify several tractable and intractable subclasses of the regular languages. In particular, we establish that trail evaluation for simple chain regular expressions, which are common in practice, is tractable, whereas simple path evaluation is tractable for a large subclass. The problem of fully classifying all regular languages is quite non-trivial, even on undirected graphs, since it subsumes an intriguing problem that has been open for 30 years.
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无向图上规则轨迹查询和简单路径查询的复杂度
研究了无向图上规则轨迹查询和简单路径查询的数据复杂度。利用结构图论的技术,从图小定理到群标记图,我们能够识别出规则语言的几个易于处理和难以处理的子类。特别地,我们建立了在实践中常见的简单链正则表达式的跟踪计算是可处理的,而简单路径计算对于大型子类是可处理的。对所有正则语言进行完全分类的问题非常重要,即使在无向图上也是如此,因为它包含了一个已经开放了30年的有趣问题。
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The Gibbs-Rand Model Optimal Algorithms for Multiway Search on Partial Orders Estimation of the Size of Union of Delphic Sets: Achieving Independence from Stream Size The Complexity of Regular Trail and Simple Path Queries on Undirected Graphs Data Path Queries over Embedded Graph Databases
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