Multihop Neighbor Information Fusion Graph Convolutional Network for Text Classification

Graph convolutional network (GCN) is an efficient network for learning graph representations. However, it costs expensive to learn the high-order interaction relationships of the node neighbor. In this paper, we propose a novel graph convolutional model to learn and fuse multihop neighbor informatio...

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Veröffentlicht in:	Mathematical problems in engineering 2021, Vol.2021, p.1-9
Hauptverfasser:	Lei, Fangyuan, Liu, Xun, Li, Zhengming, Dai, Qingyun, Wang, Senhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Data integration Deep learning Graphical representations Mathematical problems Neural networks Propagation Text categorization
Online-Zugang:	Volltext
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