Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning

Yaomin Chang; Chuan Chen; Weibo Hu; Zibin Zheng; Xiaocong Zhou; Shouzhi Chen

doi:10.1016/j.knosys.2021.107611

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Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning

Yaomin Chang Chuan Chen Weibo Hu Zibin Zheng Xiaocong Zhou Shouzhi Chen

Year: 2021 Journal: Knowledge-Based Systems Vol: 235 Pages: 107611-107611 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2021.107611

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Keywords:

Computer science Interpretability Theoretical computer science Feature learning Graph Bipartite graph Leverage (statistics) Heterogeneous network Artificial intelligence Machine learning Wireless network

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Topics

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Graph Theory and Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning

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