Classification of Research Papers on Radio Frequency Electromagnetic Field (RF-EMF) Using Graph Neural Networks (GNN)

Classification of Research Papers on Radio Frequency Electromagnetic Field (RF-EMF) Using Graph Neural Networks (GNN)

This study compares the performance of graph convolutional neural network (GCN) models with conventional natural language processing (NLP) models for classifying scientific literature related to radio frequency electromagnetic field (RF-EMF). Specifically, the study examines two GCN models: BertGCN...

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Bibliographic Details
Main Authors: Youngsun Jang, Kwanghee Won, Hyung-do Choi, Sung Y. Shin
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
document classification
BERT
graph convolution neural network
electromagnetic fields
Online Access:https://www.mdpi.com/2076-3417/13/7/4614

Internet

https://www.mdpi.com/2076-3417/13/7/4614

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