Author name disambiguation method based on heterogeneous graph convolutional neural network embedding

Abstract

The invention discloses an author name disambiguation method based on heterogeneous graph convolutional neural network embedding. The method comprises the following steps: 1) for a target author nameto be disambiguated, collecting publications made by the target author name, and then constructing a publication heterogeneous attribute network according to the collected title, author list and publication information of the publications; 2) according to the publication heterogeneous attribute network, generating a path accommodating publication node neighbor node text information through a random walk strategy based on a meta-path; 3) learning a representation vector of each publication based on a heterogeneous graph convolutional neural network embedding model according to the publication heterogeneous attribute network and the path; wherein the publication heterogeneous attribute network is used for representing publications of the target author name, 4) constructing a publication homogeneous network of the target author name according to the publication heterogeneous attribute network and the representation vector of the publications, and 5) dividing the publication homogeneous network to obtain a plurality of clusters, and the publications in the same cluster are publication sets of the same person.

Description

technical field [0001] The present invention relates to big data, knowledge map, entity disambiguation, graph neural network, heterogeneous network embedding technology field, specifically a network embedding method based on unsupervised heterogeneous graph convolutional neural network and meta-path random walk strategy Techniques for scholar name disambiguation. Background technique [0002] Nowadays, academic information mining in digital archives is becoming more and more important. When a user searches for an author's name in a digital library, what he wants to get is a search result that is both fast and accurate and that is relevant to the name. However, many search services in digital archives only retrieve a broad collection of publications, which leads to the problem of duplicate author names, that is, publications in this collection have the same author name, but these authors are not necessarily It's the same person. Using author name disambiguation technology ...

AI Technical Summary

Problems solved by technology

However, the technical difficulty to be solved in such a solution is how to learn high-quality publication representation vectors by using the various characteristics of publications and the relationship information between publications

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