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2110.07654
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Residual2Vec: Debiasing graph embedding with random graphs
14 October 2021
Sadamori Kojaku
Jisung Yoon
I. Constantino
Yong-Yeol Ahn
CML
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Papers citing
"Residual2Vec: Debiasing graph embedding with random graphs"
9 / 9 papers shown
Title
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Van Thuy Hoang
Hyeon-Ju Jeon
O-Joun Lee
27
0
0
21 Apr 2025
Visualization Tasks for Unlabelled Graphs
Matt I. B. Oddo
Ryan Smith
Stephen Kobourov
Tamara Munzner
32
0
0
19 Apr 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
Jiaheng Liu
Xiaoqian Jiang
Xuzhao Li
Bohan Zhang
J. Zhang
32
0
0
12 Apr 2025
Learning Graph Node Embeddings by Smooth Pair Sampling
Konstantin Kutzkov
41
0
0
22 Jan 2025
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
Shay Deutsch
Lionel Yelibi
Alex Tong Lin
Arjun Ravi Kannan
45
1
0
04 Jun 2024
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
Toward Degree Bias in Embedding-Based Knowledge Graph Completion
Harry Shomer
Wei Jin
Wentao Wang
Jiliang Tang
4
21
0
10 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks
Zemin Liu
Trung-Kien Nguyen
Yuan Fang
19
25
0
08 Feb 2023
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Stephen Bonner
Ufuk Kirik
O. Engkvist
Jian Tang
Ian P Barrett
17
19
0
13 Dec 2021
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