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Network Embedding with Completely-imbalanced Labels

Network Embedding with Completely-imbalanced Labels

7 July 2020
Zheng Wang
Xiaojun Ye
Chaokun Wang
Jian Cui
Philip S. Yu
ArXivPDFHTML

Papers citing "Network Embedding with Completely-imbalanced Labels"

6 / 6 papers shown
Title
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
31
11
0
28 Oct 2023
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
28
11
0
16 Dec 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
25
52
0
26 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph
  Neural Networks
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks
Tianxiang Zhao
Xiang Zhang
Suhang Wang
17
6
0
10 Jun 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu-Chiang Frank Wang
Yuying Zhao
Neil Shah
Tyler Derr
25
47
0
01 Dec 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance
  Classification
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
Yu-Chiang Frank Wang
Siegfried Mercelis
Tyler Derr
9
22
0
22 Oct 2021
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