Graph Convolutional Network Design for Node Classification Accuracy Improvement

Graph convolutional networks (GCNs) provide an advantage in node classification tasks for graph-related data structures. In this paper, we propose a GCN model for enhancing the performance of node classification tasks. We design a GCN layer by updating the aggregation function using an updated value...

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發表在:	Mathematics
Main Authors:	Mohammad Abrar Shakil Sejan, Md Habibur Rahman, Md Abdul Aziz, Jung-In Baik, Young-Hwan You, Hyoung-Kyu Song
格式:	Article
語言:	英语
出版:	MDPI AG 2023-08-01
主題:	graph data structure graph learning graph convolutional network node classification
在線閱讀:	https://www.mdpi.com/2227-7390/11/17/3680