Heterogeneous graph neural network with multi-view representation learning

• Main Authors: SHAO, Zezhi, XU, Yongjun, WEI, Wei, WANG, Fei, ZHANG, Zhao, ZHU, Feida
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Heterogeneous graphs; Graph neural networks; Graph embedding; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: 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
• Institution: Singapore Management University

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...