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引用次数: 1

摘要

本文主要研究约束存在于所探索子图的邻域中的子图查询。我们描述反顶点(anti-vertex),一个表示顶点缺失的声明性构造,即结果子图在其指定的邻域中不应该有与反顶点匹配的顶点。我们将反顶点的语义形式化,以受益于自动推理和优化,并支持跨查询语言和运行时的标准化实现。这些语义是为子图查询(同构、同态和无重复边匹配)中常用的各种匹配语义和广泛采用的属性图模型定义的。我们举例说明了几个反顶点可以用来帮助熟悉反顶点概念的例子。通过开发Cypher语言的原型扩展,我们进一步展示了如何在现有的图查询语言中添加反顶点支持。最后,我们研究了反顶点如何与子图匹配框架中的对称性破缺技术相互作用,使它们的意义与连接顶点的约束邻域的预期结果保持一致。
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Anti-vertex for neighborhood constraints in subgraph queries
This paper focuses on subgraph queries where constraints are present in the neighborhood of the explored subgraphs. We describe anti-vertex, a declarative construct that indicates absence of a vertex, i.e., the resulting subgraph should not have a vertex in its specified neighborhood that matches the anti-vertex. We formalize the semantics of anti-vertex to benefit from automatic reasoning and optimization, and to enable standardized implementation across query languages and runtimes. The semantics are defined for various matching semantics that are commonly employed in subgraph querying (isomorphism, homomorphism, and no-repeated-edge matching) and for the widely adopted property graph model. We illustrate several examples where anti-vertices can be employed to help familiarize with the anti-vertex concept. We further showcase how anti-vertex support can be added in existing graph query languages by developing prototype extensions of Cypher language. Finally, we study how anti-vertices interact with the symmetry breaking technique in subgraph matching frameworks so that their meaning remains consistent with the expected outcome of constrained neighborhoods to connected vertices.
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Knowledge graph representation learning and graph neural networks for language understanding Converting property graphs to RDF: a preliminary study of the practical impact of different mappings Multilayer graphs: a unified data model for graph databases Batch dynamic algorithm to find k-core hierarchies Anti-vertex for neighborhood constraints in subgraph queries
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