Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
Author:
Affiliation:
1. University of Technology Sydney,Faculty of Engineering and Information Technology,Sydney,Australia
2. Singapore Management University,School of Computing and Information Systems,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651097.pdf?arnumber=10651097
Reference45 articles.
1. Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
2. Graph Data Management and Mining: A Survey of Algorithms and Applications
3. Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity
4. Graph classification with imbalanced class distributions and noise;Pan
5. Semi-supervised classification with graph convolutional networks;Kipf;unpublished
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