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Class-Imbalanced Learning on Graphs: A Survey

Class-Imbalanced Learning on Graphs: A Survey

9 April 2023
Yihong Ma
Yijun Tian
Nuno Moniz
Nitesh V. Chawla
ArXivPDFHTML

Papers citing "Class-Imbalanced Learning on Graphs: A Survey"

6 / 6 papers shown
Title
Krait: A Backdoor Attack Against Graph Prompt Tuning
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
46
0
0
18 Jul 2024
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
Yihong Ma
Ning Yan
Jiayu Li
Masood S. Mortazavi
Nitesh V. Chawla
24
17
0
23 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
18
9
0
31 Aug 2023
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural
  Networks
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Yijun Tian
Chuxu Zhang
Zhichun Guo
Yihong Ma
Ronald A Metoyer
Nitesh V. Chawla
31
18
0
24 May 2022
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
139
828
0
28 Sep 2019
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
148
25,150
0
09 Jun 2011
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