1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2023
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li +6
Class imbalance in graph data presents a significant challenge for effective node classification, particularly in semi-supervised scenarios. In this work, we formally introduce the…
stat.ME2020★ 1 cited
Imbalanced classification: a paradigm-based review
Yang Feng, Min Zhou, Xin Tong
A common issue for classification in scientific research and industry is the existence of imbalanced classes. When sample sizes of different classes are imbalanced in training data…