Joint Graph Augmentation and Adaptive Synthetic Sampling for Imbalanced Node Classification

Guangquan Lu; Wanxin Chen; Yadan Han; Jiamin Tang; Faliang Huang

doi:10.1007/978-981-97-9440-9_36

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Joint Graph Augmentation and Adaptive Synthetic Sampling for Imbalanced Node Classification

Guangquan Lu Wanxin Chen Yadan Han Jiamin Tang Faliang Huang

Year: 2024 Lecture notes in computer science Pages: 469-482 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-97-9440-9_36

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Keywords:

Computer science Joint (building) Artificial intelligence Graph Adaptive sampling Node (physics) Sampling (signal processing) Pattern recognition (psychology) Data mining Theoretical computer science Computer vision Statistics Mathematics

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0.00

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0.43

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Is in top 10%

Topics

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Joint Graph Augmentation and Adaptive Synthetic Sampling for Imbalanced Node Classification

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Topics

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