Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Scientific research knowledge graph talent recommendation method and device based on graph neural network

A neural network and knowledge map technology, applied in the field of machine learning talent recommendation algorithm, can solve the problems of ignoring the characteristics of user associations, failure to achieve expert recommendation effects, lack of blogs, etc., and achieve the effect of improving learning prediction ability

Active Publication Date: 2021-06-04
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
View PDF19 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method achieves the effect of expert recommendation to a certain extent, but it is only limited to blog text features in social network data, ignoring the relationship features between use

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Scientific research knowledge graph talent recommendation method and device based on graph neural network
  • Scientific research knowledge graph talent recommendation method and device based on graph neural network
  • Scientific research knowledge graph talent recommendation method and device based on graph neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to further illustrate the implementation cases, the present invention provides accompanying drawings for description. These drawings are part of the content of the present invention, and can be used to explain the operating principle in conjunction with the relevant descriptions in the specification. With these contents, those skilled in the art can understand the specific implementation and deployment of the present invention and its advantages.

[0035] The present invention is a talent recommendation method based on graph neural network for scientific research knowledge graph, such as figure 1 , including the following steps:

[0036] S1: Construction of scientific research knowledge map, by extracting the entity features and relationship features in the data of scientific research papers, including but not limited to author, paper, institution, publication and other entity nodes, and the relationship between them, such as author and The affiliation of the...

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

PUM

No PUM Login to View More

Abstract

The invention discloses a scientific research knowledge graph talent recommendation method and device based on a graph neural network, and the method comprises the steps of extracting the entity features of all entities in to-be-processed scientific research achievement paper data and the association relationship information between the entities, and building a scientific research knowledge graph; forming uniform feature representation of each node according to the entity features; constructing a graph neural network through unified feature representation and association relationship information, and training the graph neural network to obtain a score value of each node; and obtaining a prediction result of talent recommendation according to the score value of each author node. According to the invention, information available in subsequent data mining is enriched by adding association relationships among various entities, so that different contribution degree weights are generated, the model is more selective in information utilization, the node in-degree value is used as an important numerical basis for adjusting a final score value, and the learning prediction capability of the model is improved.

Description

technical field [0001] The present invention relates to the field of machine learning talent recommendation algorithms, and more specifically, to a talent recommendation method and device based on a graph neural network for scientific research knowledge graphs. Background technique [0002] The recommendation and training of talents is an extremely important part of the development of scientific research. Using the talent recommendation algorithm to analyze the data of scientific research papers can help scientific research institutions recommend outstanding talents in the discipline, and provide reference opinions for talent introduction and training. There are many traditional talent recommendation algorithms, some of which are based on bibliometric methods to count the data related to the citations of papers and then recommend scholars with higher rankings. Using information such as the order of the papers' signatures and co-authorship relationships, and ignoring the dif...

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

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/9535G06F16/28G06F16/36G06N3/04G06N3/08
CPCG06F16/9535G06F16/367G06F16/288G06N3/08G06N3/045
Inventor 李翀王宇宸刘学敏张金杰张士波
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com