开课单位--北京邮电大学
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Leveraging Meta‑path based Context for Top N recommendation with Co‑attention mechanism[利用基于元路径的上下文进行具有共同关注机制的N大推荐]
  Binbin Hu(北京邮电大学) Leveraging Meta‑path based Context for Top N recommendation with Co‑attention mechanism
热度：22

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Student Academic Performance Prediction Using Deep Multi-Source Behavior Sequential Network[基于深度多源行为序列网络的学生学习成绩预测]
  Xiang Li(北京邮电大学) Student Academic Performance Prediction Using Deep Multi-Source Behavior Sequential Network
热度：24

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Interpreting and Unifying Graph Neural Networks with An Optimization Framework[用优化框架解释和统一图形神经网络]
  Meiqi Zhu(北京邮电大学) Interpreting and Unifying Graph Neural Networks with An Optimization Framework
热度：49

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Demystifying Illegal Mobile Gambling Apps[揭开非法移动赌博应用的神秘面纱]
  Yuhao Gao(北京邮电大学) Demystifying Illegal Mobile Gambling Apps
热度：61

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Lorentzian Graph Convolutional Neural Networks[洛伦兹图卷积神经网络]
  Yiding Zhang(北京邮电大学) Lorentzian Graph Convolutional Neural Networks
热度：104

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Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learningp[用于聚类和半监督学习的强局部超图扩散]
  Mengqi Liu(北京邮电大学) Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
热度：28

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Distillation FrameworkExtract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge[蒸馏框架提取图形神经网络的知识并超越它：一种有效的知识]
  Cheng Fang(北京邮电大学) Distillation FrameworkExtract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge
热度：35

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Graph Structure Estimation Neural Networks[图结构估计神经网络]
  Ruijia Wang(北京邮电大学) Graph Structure Estimation Neural Networks
热度：184

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TeleComVis: Exploring Temporal Communities in Telecom Networks[telecomvis：探索电信网络时间的社区]
  Qi Ye(北京邮电大学) telecomvis：探索电信网络时间的社区
热度：37
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