semi-irreducible graph

Graph database has special advantages on large, complex, semi-structured or un-structured data, and is a hot research topic in database field.

图数据库在处理大规模复杂、半结构化或无结构数据时具有独特的优势，是数据库领域的热门研究课题。

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Research on Graph-based Semi-Supervised Learning Model and Classifier Design

基于图的半监督学习模型研究与分类器设计

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And to research the semi-structure characteristics of XML: self-describe, graph-based model and irregular. Then the analysis of normal tree-structure model is presented. Lastly, we give labeled ordered tree objects.

在对数据模型的研究中，首先介绍了XML数据模型和半结构化的数据模型，研究了XML的半结构化特征：自描述、图结构和不规则，并分析了XML常见的树结构模型。

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In this thesis, I focused on graph-based semi-supervised learning.

本文主要研究的是基于图的半监督学习方法与应用。

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Several Commutation Theorems of Graph about Irresolute Mapping and Semi-Identification Mapping

关于不定映射与半粘合映射的几个图形交换定理

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