Method for predicting heterogeneous network link based on meta-path

A heterogeneous network and link prediction technology, which is applied in data exchange networks, neural learning methods, biological neural network models, etc., can solve the problems of network interlacing complexity and heterogeneity

Active Publication Date: 2020-01-10
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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AI Technical Summary

Problems solved by technology

The complex interlacing of networks in real life brings great challenges to the accuracy of link prediction. An effective link prediction method can provide users with accurate prediction results and has important application value
However, the existing network link prediction methods often ignore the impact of network heterogeneity on link prediction. Most of the existing methods are aimed at homogeneous networks, but most real networks are heterogeneous.

Method used

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  • Method for predicting heterogeneous network link based on meta-path
  • Method for predicting heterogeneous network link based on meta-path
  • Method for predicting heterogeneous network link based on meta-path

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Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0059] The present invention provides a method for predicting heterogeneous network links based on meta-paths, which specifically includes the following steps:

[0060] Step 1. Build a heterogeneous network

[00...

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Abstract

The invention discloses a heterogeneous network link prediction method based on a meta-path. Rich and complex semantics of the heterogeneous network are processed by utilizing meta-paths; meta-path instances are extracted from the network and network node weights are learnt; the network topology characteristics are integrated to update the network node embedding, the updated network node embeddingis utilized to perform classification, clustering, link prediction and other work, the applicability in the actual life is high, and the accuracy of the classification, clustering, link prediction and other work of the heterogeneous network can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a method for predicting heterogeneous network links based on meta-paths. Background technique [0002] With the development of science and technology and the advent of the era of big data, the recommendation system has emerged as the times require, which aims to help users find the content they are most interested in more conveniently in massive data. Link prediction is a bridge between complex networks and information technology. It can effectively restore missing links and predict upcoming links, and is an important method to implement recommendation systems. The network interlacing in real life is complex, which brings great challenges to the accuracy of link prediction. An effective link prediction method can provide users with accurate prediction results and has important application value. However, existing network link prediction methods often ignore the impact of net...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24G06F16/901G06N3/04G06N3/08
CPCH04L41/147H04L41/145H04L41/12G06F16/9024G06N3/084G06N3/045
Inventor 段大高尹丹琪韩忠明杨伟杰刘文文
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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