Inferring local topology via variational convolution for graph representation

The development of deep learning techniques and support of big data computing power have revolutionized graph representation research by facilitating the implementation of the learning of different graph neural network structures. Existing methods, such as graph attention networks, mainly focus on g...

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Xehetasun bibliografikoak

Egile Nagusiak:	Jingyi HOU, Yuxin TANG, Xinbo YU, Zhijie LIU
Formatua:	Artigo
Hizkuntza:	Chinês
Argitaratua:	Science Press 2023-10-01
Saila:	工程科学学报
Gaiak:	graph attention network local topology variational inference convolutional neural network hybrid neural network
Sarrera elektronikoa:	http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2022.07.24.005
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!