Capsule graph neural network based on global and local features fusion

doi:10.13229/j.cnki.jdxbgxb20200034

CIOMP OpenIR

	Capsule graph neural network based on global and local features fusion
	R. Qian; R. Zhang; K.-J. Zhang; X. Jin; S.-L. Ge and S. Jiang
	2021
发表期刊	Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
ISSN	16715497
卷号	51 期号:3 页码:1048-1054
摘要	The overall structure information is obtained in the training of the capsule graph neural network, and as the layers increases, the structure feature information of the node will be lost. A capsule graph neural network that combines global and local features was proposed. First, the Node2vec is improved, and the attribute information of nodes is introduced into the random walk process, so that the network structure and the attributes of nodes are taken into account when the network representation is generated. Then, the improved Node2vec is introduced into the capsule graph neural network, and the capsule graph neural network is designed which fuses global and local characteristics. Experimental results show that the proposed capsule graph neural network has faster training convergence, and higher graph classification accuracy. 2021, Jilin University Press. All right reserved.
DOI	10.13229/j.cnki.jdxbgxb20200034
URL	查看原文
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65082
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	R. Qian,R. Zhang,K.-J. Zhang,et al. Capsule graph neural network based on global and local features fusion[J]. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition),2021,51(3):1048-1054.
APA	R. Qian,R. Zhang,K.-J. Zhang,X. Jin,&S.-L. Ge and S. Jiang.(2021).Capsule graph neural network based on global and local features fusion.Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition),51(3),1048-1054.
MLA	R. Qian,et al."Capsule graph neural network based on global and local features fusion".Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 51.3(2021):1048-1054.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Capsule graph neural（1173KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载