首页> 外国专利> Dimensional reduction mechanisms for representing massive communication network graphs for structural queries

Dimensional reduction mechanisms for representing massive communication network graphs for structural queries

机译:表示结构化查询的大量通信网络图的降维机制

摘要

Mechanisms are provided for transforming an original graph data set into a representative form having a smaller number of dimensions that the original graph data set. The mechanisms generate a graph transformation basis structure based on an input graph data structure. The mechanisms further transform an original graph data set based on an intersection of the graph transformation basis structure and the input graph data structure to thereby generate a transformed graph data set data structure. The transformed graph data set data structure has a reduced dimensionality from that of the input graph data structure but represents characteristics of the original graph data set. Moreover, the mechanisms perform an application specific operation on the transformed graph data set data structure to generate an output of a closest similarity record in the transformed graph data set to a target component.
机译:提供了用于将原始图形数据集转换为具有比原始图形数据集更少的维数的代表性形式的机制。这些机制基于输入图形数据结构生成图形变换基础结构。所述机制还基于图变换基础结构和输入图数据结构的交集来变换原始图数据集,从而生成变换后的图数据集数据结构。变换后的图形数据集数据结构的维数比输入图形数据结构的维数小,但代表原始图形数据集的特征。此外,这些机制对变换后的图形数据集数据结构执行特定于应用程序的操作,以生成变换后的图形数据集中最接近目标组件的相似性记录的输出。

著录项

  • 公开/公告号US9262495B2

    专利类型

  • 公开/公告日2016-02-16

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US201414146991

  • 发明设计人 CHARU C. AGGARWAL;

    申请日2014-01-03

  • 分类号G06T11/20;G06F7;G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 14:31:00

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