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闫页宇 -博士研究生
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导师:朱振峰
研究方向:图表示学习;联邦图学习;异质图神经网络
电子邮箱:23111086@bjtu.edu.cn
个人宣言:好好学习,天天向上。
主要论文
  1. Li, Chao, Jinhu Fu, Yeyu Yan, Zhongying Zhao, Qingtian Zeng. Higher order heterogeneous graph neural network based on node attribute enhancement[J]. Expert Systems with Applications, 2024, 238: 122404.
  2. Chao Li, Xinming Liu, Yeyu Yan, Zhongying Zhao, Qingtian Zeng. HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity[J]. Applied Intelligence, 2023: 1-18.
  3. 李超, 孙国义, 闫页宇, 段华,曾庆田. 基于拓扑信息和属性信息协同对比的自监督异质图神经网络模型[J]. 模式识别与人工智能, 2023, 36(4): 287-299.
  4. Yeyu Yan, Chao Li, Yanwei Yu, Xiangju Li, Zhongying Zhao. OSGNN: Original graph and Subgraph aggregated Graph Neural Network[J]. Expert Systems with Applications, 2023, 225: 120115.
  5. Chao Li, Yeyu Yan, Jinhu Fu, Zhongying Zhao, Qingtian Zeng. HetReGAT-FC: Heterogeneous Residual Graph Attention Network via Feature Completion[J]. Information Sciences, 2023, 632: 424-438.
  6. Chao Li, Yeyu Yan, Zhongying Zhao, Jun Luo, Qingtian Zeng. HEPre: Click frequency prediction of applications based on heterogeneous information network embedding[J]. Journal of Intelligent & Fuzzy Systems, 2021, 41(6): 7511-7526.
专利