Improving Node Classification Accuracy in Graph Neural Networks Using PageRank as an Additional Node Feature

This paper presents a simple yet effective approach to enhance the performance of Graph Neural Networks (GNNs) in node classification tasks. The proposed method involves incorporating the PageRank score—a global centrality metric—into node feature vectors to integrate broader contextual information...

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Auteurs principaux:	Hossein Hosseini, Mehdi Naghavi
Format:	Artigo
Langue:	Persa
Publié:	Yazd University 2025-08-01
Collection:	پژوهش‌های نظری و کاربردی هوش ماشینی
Sujets:	graph neural networks node classification pagerank score graph convolutional networks graph attention networks graphsage
Accès en ligne:	https://abmir.yazd.ac.ir/article_3916_2a45471de3156de519d680c556ec31ff.pdf
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