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2106.15535
Cited By
Subgroup Generalization and Fairness of Graph Neural Networks
29 June 2021
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
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Papers citing
"Subgroup Generalization and Fairness of Graph Neural Networks"
19 / 19 papers shown
Title
Efficient Data Selection for Training Genomic Perturbation Models
G. Panagopoulos
J. Lutzeyer
Sofiane Ennadir
Michalis Vazirgiannis
Jun Pang
147
0
0
18 Mar 2025
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
36
3
0
29 May 2024
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
Hongkang Li
Shuai Zhang
Yihua Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
33
4
0
12 Mar 2024
Graph Out-of-Distribution Generalization via Causal Intervention
Qitian Wu
Fan Nie
Chenxiao Yang
Tianyi Bao
Junchi Yan
OODD
OOD
AI4CE
35
18
0
18 Feb 2024
Marginal Nodes Matter: Towards Structure Fairness in Graphs
Xiaotian Han
Kaixiong Zhou
Ting-Hsiang Wang
Jundong Li
Fei Wang
Na Zou
27
0
0
23 Oct 2023
Sharpness-Aware Graph Collaborative Filtering
Huiyuan Chen
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Junpeng Wang
Vivian Lai
Mahashweta Das
Hao Yang
23
5
0
18 Jul 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
22
12
0
20 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland
Jiong Zhu
Mark Heimann
Benjamin Fish
Michael T. Shaub
Danai Koutra
30
5
0
08 Jun 2023
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
31
141
0
11 Apr 2023
Graph Neural Network Surrogates of Fair Graph Filtering
Emmanouil Krasanakis
Symeon Papadopoulos
32
1
0
14 Mar 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview
Arjun Roy
J. Horstmann
Eirini Ntoutsi
FaML
15
20
0
12 Feb 2023
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
11
4
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
34
112
0
21 Apr 2022
Partition-Based Active Learning for Graph Neural Networks
Jiaqi Ma
Ziqiao Ma
Joyce Chai
Qiaozhu Mei
19
15
0
23 Jan 2022
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
184
171
0
09 Mar 2020
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
152
0
23 Jul 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,337
0
12 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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