Heterogeneous graph neural network with multi-view representation learning

Heterogeneous graph neural network with multi-view representation learning

In recent years, graph neural networks (GNNs)-based methods have been widely adopted for heterogeneous graph (HG) embedding, due to their power in effectively encoding rich information from a HG into the low-dimensional node embeddings. However, previous works usually easily fail to fully leverage t...

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書目詳細資料
Main Authors:	SHAO, Zezhi, XU, Yongjun, WEI, Wei, WANG, Fei, ZHANG, Zhao, ZHU, Feida
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2023
主題:	Heterogeneous graphs Graph neural networks Graph embedding Databases and Information Systems Numerical Analysis and Scientific Computing
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/8607 https://ink.library.smu.edu.sg/context/sis_research/article/9610/viewcontent/Heterogeneous_Graph_Neural_Network_With_Multi_View_Representation_Learning.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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