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Synthetic Over-sampling for Imbalanced Node Classification with Graph
  Neural Networks

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks

10 June 2022
Tianxiang Zhao
Xiang Zhang
Suhang Wang
ArXivPDFHTML

Papers citing "Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks"

4 / 4 papers shown
Title
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren
Tianxiang Zhao
Wei Qin
Kunpeng Liu
TTA
AI4TS
19
5
0
05 Sep 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
AI4CE
30
11
0
16 Dec 2022
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,256
0
09 Jun 2011
1