ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.02817
  4. Cited By
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph
  Networks

ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks

5 June 2021
Liang Qu
Huaisheng Zhu
Ruiqi Zheng
Yuhui Shi
Hongzhi Yin
ArXivPDFHTML

Papers citing "ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks"

12 / 12 papers shown
Title
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Zhixun Li
Dingshuo Chen
Tong Zhao
Ziyu Zhao
Hongrui Liu
Qing Cui
Jun Zhou
Jeffrey Xu Yu
SSL
105
0
0
10 Feb 2025
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
41
36
0
07 Mar 2024
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
44
11
0
28 Oct 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
14
13
0
26 Aug 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
24
24
0
16 Jun 2023
Self-Explainable Graph Neural Networks for Link Prediction
Self-Explainable Graph Neural Networks for Link Prediction
Huaisheng Zhu
Dongsheng Luo
Xianfeng Tang
Junjie Xu
Hui Liu
Suhang Wang
23
1
0
21 May 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node
  Classification
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Mengting Zhou
Zhiguo Gong
16
19
0
24 Feb 2023
A Contextual Master-Slave Framework on Urban Region Graph for Urban
  Village Detection
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Congxi Xiao
Jingbo Zhou
Jizhou Huang
Hengshu Zhu
Tong Xu
Dejing Dou
Hui Xiong
23
15
0
26 Nov 2022
LTE4G: Long-Tail Experts for Graph Neural Networks
LTE4G: Long-Tail Experts for Graph Neural Networks
Sukwon Yun
Kibum Kim
Kanghoon Yoon
Chanyoung Park
40
39
0
22 Aug 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
31
52
0
26 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node
  Classification with GNNs
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa
Koki Noda
Yuya Sasaki
Makoto Onizuka
25
21
0
18 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
30
47
0
01 Dec 2021
1