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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:数据科学研究院

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

Journal:nternational Conference on Artificial Neural Networks

First Author:金霁

Document Code:6C5FB5179094480BAFCA963A6B547631

Number of Words:5

Translation or Not:No

Date of Publication:2023-09

Release Time:2025-05-23

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