Document
检索banner
高级检索 在检索结果中检索
全部字段 题名 作者 关键词 摘要

Hybrid sampling-based contrastive learning for imbalanced node classification

  • 【作者】Cui, Caixia,Wang, Jie,Wei, Wei,Liang, Jiye
  • 【刊名】International Journal of Machine Learning and Cybernetics
  • 【作者单位】 Shanxi University, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Taiyuan, China (GRID:grid.163032.5) (ISNI:0000 0004 1760 2008); Taiyuan Normal University, Department of Computer Science and Technology, Jinzhong, China (GRID:grid.443576.7) (ISNI:0000 0004 1799 3256)   Taiyuan University of Science and Technology, College of Computer Science and Technology, Taiyuan, China (GRID:grid.440655.6) (ISNI:0000 0000 8842 2953)   Shanxi University, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Taiyuan, China (GRID:grid.163032.5) (ISNI:0000 0004 1760 2008) 
  • 【年份】2023
  • 【卷号】Vol.14 No.3
  • 【页码】989-1001
  • 【ISSN】1868-8071
  • 【摘要】 Imbalanced node classification is a vital task because it widely exists in many real-world applications, such as financial fraud detection, anti-money laundering, drug reaction prediction and so on. However, many recent methods are for balanced graph...
  • 【文献类型】 期刊
进入发现系统查看更多信息
相关文献
相同作者的文献
页脚