Predicting co-word links via heterogeneous graph convolutional networks

Predicting co-word links via heterogeneous graph convolutional networks

Abstract Co-word analysis, which explores the co-occurrence of key terminology within a specific field, is a valuable tool for identifying research themes and their networks. Leveraging the booming machine learning models, link prediction in co-word networks makes it possible to discover potential i...

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Bibliographic Details
Main Authors: Yangmin Li, Xin Zhang, Xin Bai, Sen Bai, Zhengang Jiang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Co-word networks
Graph convolutional networks
Link prediction
Online Access:https://doi.org/10.1038/s41598-025-05853-w
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