Residual2Vec: Debiasing graph embedding with random graphs

14 October 2021

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