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曲存全

Associate Professor
Supervisor of Master's Candidates


Gender:Male
Alma Mater:山东大学
Education Level:Postgraduate (Postdoctoral)
Degree:Doctor
Status:Employed
School/Department:数据科学研究院
Date of Employment:2022-07-02
College: Academy of Data Science
Discipline:Operational Research and Cybernetics
Business Address:中心校区明德楼B704
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Current position: Home >> Scientific Research >> Paper Publications
SGNN: A New Method for？Learning Representations on？Signed Networks

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Institution:数学学院

Title of Paper:SGNN: A New Method for？Learning Representations on？Signed Networks

First Author:金霁

Document Code:1726498400198541313

Volume:14258 LNCS

Page Number:447-458

Number of Words:5

Translation or Not:No

Date of Publication:2023-01

Release Time:2024-01-30

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