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Robust Causal Graph Representation Learning against Confounding Effects

Robust Causal Graph Representation Learning against Confounding Effects

18 August 2022
Hang Gao
Jiangmeng Li
Jingyao Wang
Hui Xiong
Bing Xu
Changwen Zheng
Gang Hua
    OOD
    CML
ArXivPDFHTML

Papers citing "Robust Causal Graph Representation Learning against Confounding Effects"

4 / 4 papers shown
Title
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
49
2
0
19 Dec 2023
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
99
224
0
30 Jan 2022
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
593
0
31 Dec 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
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
901
0
02 Mar 2020
1