开课单位--北京大学
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Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels[基于匿名走图核的图神经网络理论改进]
  Qingqing Long(北京大学) Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
热度：15

2
HeavyGuardian: Separate and Guard Hot Items in Data Streams[HeavyGuardian：分离和保护数据流中的热点项目]
  Junzhi Gong(北京大学) HeavyGuardian: Separate and Guard Hot Items in Data Streams
热度：18

3
Node Conductance: A Scalable Node Centrality Measure on Big Networks[节点电导：大网络上可扩展的节点中心性度量]
  Tianshu Lyu(北京大学) Node Conductance: A Scalable Node Centrality Measure on Big Networks
热度：26

4
Attribute-driven Capsule Network for Entity Relation Prediction[用于实体关系预测的属性驱动胶囊网络]
  Jiayin Chen(北京大学) Attribute-driven Capsule Network for Entity Relation Prediction
热度：31

5
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data[描述联邦学习中异构性对大规模智能手机数据的影响]
  Chengxu Yang(北京大学) Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
热度：17

6
Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations[通过联合利用疾病内和疾病间人口健康数据相关性，完成多种慢性病的缺失患病率]
  Yujie Feng(北京大学) Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlati...
热度：26

7
Improving Graph Neural Networks with Structural Adaptive Receptive Fields[用结构自适应感受野改进图神经网络]
  Xiaojun Ma(北京大学) Improving Graph Neural Networks with Structural Adaptive Receptive Fields
热度：20

8
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning[针对并行数据中毒的黑箱神经机器翻译攻击]
  Chang Xu(北京大学) A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning
热度：27

9
DistCare: Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis[DistCare：从公开的在线EMR数据中提取知识，用于预测新出现的流行病]
  Liantao Ma(北京大学) DistCare: Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis
热度：61

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ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases[ATJ Net：用于关系数据库自动学习的自动表连接网络]
  Jinze Bai(北京大学) ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases
热度：57
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