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Residual2Vec: Debiasing graph embedding with random graphs

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"

3 / 3 papers shown
Title
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
J. Liu
Xiaoqian Jiang
X. Li
Bohan Zhang
J. Zhang
32
0
0
12 Apr 2025
Learning Graph Node Embeddings by Smooth Pair Sampling
Learning Graph Node Embeddings by Smooth Pair Sampling
Konstantin Kutzkov
39
0
0
22 Jan 2025
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
Shay Deutsch
Lionel Yelibi
Alex Tong Lin
Arjun Ravi Kannan
40
1
0
04 Jun 2024
1