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2201.07708
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Debiased Graph Neural Networks with Agnostic Label Selection Bias
19 January 2022
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
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Papers citing
"Debiased Graph Neural Networks with Agnostic Label Selection Bias"
12 / 12 papers shown
Title
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
23
7
0
30 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
24
2
0
19 Dec 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
15
16
0
02 Feb 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs
Shaohua Fan
Shuyang Zhang
Xiao Wang
Chuan Shi
CML
23
5
0
30 Nov 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
104
0
16 May 2022
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Fei Wu
OOD
34
8
0
08 Oct 2021
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
185
125
0
04 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
87
554
0
04 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
898
0
02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
162
1,766
0
02 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
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