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Ming Zhang

Peking University

No. 38 Xueyuan Road

Haidian District

Beijing, 100871

China

  • Peking University

SCHOLARLY PAPERS

2

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304

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Scholarly Papers (2)

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1.

Focus on Informative Graphs! Semi-Supervised Active Learning for Graph-Level Classification

Downloads 226 (337,699)

Focus on Informative Graphs! Semi-Supervised Active Learning for Graph-Level Classification

Number of pages: 12 Posted: 06 Apr 2023
Wei Ju, Xiao Luo, Yifang Qin, Ziyue Qiao, Siyu Yi, Luchen Liu, Yanjie Fu and Ming Zhang
Peking University, University of California at Los Angeles, Peking University, Hong Kong University of Science & Technology (HKUST), Nankai University, Peking University, University of Central Florida and Peking University
Downloads 159 (469,070)

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Graph Classification, graph neural networks, semi-supervised learning, Active Learning

Focus on Informative Graphs! Semi-Supervised Active Learning for Graph-Level Classification

Number of pages: 30 Posted: 24 May 2023
Wei Ju, Xiao Luo, Yifang Qin, Ziyue Qiao, Siyu Yi, Luchen Liu, Yanjie Fu and Ming Zhang
Peking University, University of California at Los Angeles, Peking University, Hong Kong University of Science & Technology (HKUST), Nankai University, Peking University, University of Central Florida and Peking University
Downloads 67 (912,349)

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Graph Classification, Graph neural networks, Semi-supervised Learning, active learning

2.

Gmr-Rec: Graph Mutual Regularization Learning for Multi-Domain Recommendation

Number of pages: 12 Posted: 09 Oct 2022
Shuai Li, Yifan Wang, Yongkang Li, Wei Ju, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang and Ming Zhang
Peking University, Peking University, Peking University, Peking University, Peking University, Peking University, Peking University, Peking University, Peking University, University of Washington and Peking University
Downloads 78 (816,709)

Abstract:

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Multi-domain Recommendation, Mutual Regularization Learning, Graph Neural Networks, Collaborative Filtering