Visualization method, system and device for multi-dimensional network node classification, and storage medium

A network node, multi-dimensional technology, applied in other database browsing/visualization, other database clustering/classification, character and pattern recognition, etc., can solve the problem of not being able to capture neighbor information, not considering the influence of node similarity, and unable to express clearly Problems such as structural feature coupling information and interactive correlation information
CN113158391AActive Publication Date: 2021-07-23NAT UNIV OF DEFENSE TECH

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Publication Date
2021-07-23

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

Embodiments of the invention disclose a visualization method, system and device for multi-dimensional network node classification, and a storage medium. The method is based on a network embedding technology of machine learning, the network embedding technology of machine learning is combined with a regularization mechanism and an attention mechanism to obtain a low-dimensional dense vector of each node in a multi-dimensional graph network, and the low-dimensional dense vectors form a low-dimensional embedded matrix. Based on a non-linear dimension reduction algorithm, the low-dimensional embedded matrix is projected to obtain a coordinate value of each node in multi-dimensional graph data in a two-dimensional space, and a classification result is presented by adopting label information of the nodes for color mapping and employing a visualization technology. According to the invention, low-dimensional embedding obtained in the embodiments of the invention fuses node close distance, node long distance and the attribute information of the node at the same time. The obtained low-dimensional embedded matrix is projected into a two-dimensional layout space based on the nonlinear dimension reduction algorithm, and the influence of various feature information in the original multi-dimensional graph network on node classification is visually displayed from a visual angle by adopting the visualization technology.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present application relates to the field of network data processing, in particular to a visualization method, system, device and storage medium for classifying multi-dimensional network nodes. Background technique

[0002] With the rapid development of science and technology in the past few decades, especially emerging technologies represented by the Internet and big data, which have penetrated into all aspects of life, human beings have entered an information age. Among them, the development of information technology represented by the Internet has made systems in the real world interact with each other in different ways, and their connections are getting closer. For a given system, its internal connection mode can be described by a network: each component in the system is abstracted as a vertex (or node), and the connection between components is abstracted as an edge; such as economic network, social network, biological network , transportation ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More