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Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing
  with the Data Imbalance in Graph Neural Networks

Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks

24 June 2024
Mahdi Mohammadizadeh
Arash Mozhdehi
Yani Andrew Ioannou
Xin Eric Wang
ArXivPDFHTML

Papers citing "Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks"

1 / 1 papers shown
Title
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
1