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Hybrid sampling-based contrastive learning for imbalanced node classification

  • 【作者】Caixia Cui,Jie Wang,Wei Wei & …Jiye Liang
  • 【刊名】International Journal of Machine Learning and Cybernetics
  • 【作者单位】1Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, 030006, Shanxi, China;2Department of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, Shanxi, China;3College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi, China
  • 【ISSN】1868-8071
  • 【关键词】Imbalanced node classification Contrastive learning Hybrid sampling Graph convolutional network 
  • 【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
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