典型文献
An efficient graph data compression model based on the germ quotient set structure
文献摘要：
1 Introduction
The graph data model is a crucial foundation of the graph database and has been extensively applied with relational data,such as knowledge graphs,etc.Social networks[1]trigger the discussion of a lot of hot topics,which leads to a proliferation of highly repetitive data.Therefore,how to design a graph data compression model is key to effectively storing dense graphs[2].
文献关键词：
中图分类号：
作者姓名：
Dawei WANG;Wanqiu CUI
作者机构：
Regional Innovation and Development Research Center,Institute of Scientific and Technical Information of China,Beijing 100038,China;School of National Security,People's Public Security University of China,Beijing 100038,China
文献出处：
引用格式：
[1]Dawei WANG;Wanqiu CUI-.An efficient graph data compression model based on the germ quotient set structure)[J].计算机科学前沿,2022(06):181-183
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B类：
An,efficient,compression,model,germ,quotient,set,structure,Introduction,
The,crucial,foundation,database,has,been,extensively,applied,relational,such,knowledge,graphs,etc,Social,networks,trigger,discussion,lot,hot,topics,which,leads,proliferation,highly,repetitive,Therefore,how,design,key,effectively,storing,dense
AB值：
0.674372
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