Compact network embedding for fast node classification

Network embedding has shown promising performance in real-world applications. The network embedding typically lies in a continuous vector space, where storage and computation costs are high, especially in large-scale applications. This paper proposes more compact representation to fulfill the gap. T...

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Bibliographic Details
Main Authors: Shen, Xiaobo, Ong, Yew-Soon, Mao, Zheng, Pan, Shirui, Liu, Weiwei, Zheng, Yuhui
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172036
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Institution: Nanyang Technological University
Language: English