HDGI: An Unsupervised Graph Neural Network for Representation Learning in Heterogeneous Graph

Yuxiang Ren
Yuxiang Ren
Bo Liu
Bo Liu
Chao Huang
Chao Huang
Peng Dai
Peng Dai

2020.

Cited by: 1|Views3

Abstract:

Graph representation learning is to learn universal node representations that preserve both node attributes and structural information. When a graph is heterogeneous, the problem becomes more challenging than the homogeneous graph node learning problem. Inspired by the emerging information theoretic-based learning algorithm, we propose an...More

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