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:18
Binbin Hu(北京邮电大学) Leveraging Meta‑path based Context for Top N recommendation with Co‑attention mechanism
热度:18
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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:15
Xiang Li(北京邮电大学) Student Academic Performance Prediction Using Deep Multi-Source Behavior Sequential Network
热度:15
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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:42
Meiqi Zhu(北京邮电大学) Interpreting and Unifying Graph Neural Networks with An Optimization Framework
热度:42
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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:53
Yuhao Gao(北京邮电大学) Demystifying Illegal Mobile Gambling Apps
热度:53
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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:100
Yiding Zhang(北京邮电大学) Lorentzian Graph Convolutional Neural Networks
热度:100
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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:20
Mengqi Liu(北京邮电大学) Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
热度:20
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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:28
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:28
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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:175
Ruijia Wang(北京邮电大学) Graph Structure Estimation Neural Networks
热度:175
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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:34
Qi Ye(北京邮电大学) telecomvis:探索电信网络时间的社区
热度:34
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