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2406.08709
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Introducing Diminutive Causal Structure into Graph Representation Learning
13 June 2024
Hang Gao
Peng Qiao
Yifan Jin
Fengge Wu
Jiangmeng Li
Changwen Zheng
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Papers citing
"Introducing Diminutive Causal Structure into Graph Representation Learning"
10 / 10 papers shown
Title
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
Reinforcement Causal Structure Learning on Order Graph
Dezhi Yang
Guoxian Yu
J. Wang
Zhe Wu
Maozu Guo
BDL
CML
24
16
0
22 Nov 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
27
30
0
21 Oct 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
42
107
0
12 Sep 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue
Chunhui Zhang
Chuxu Zhang
Hongfu Liu
27
31
0
19 May 2022
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
89
222
0
30 Jan 2022
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
87
554
0
04 Jan 2021
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
37
57
0
31 Dec 2020
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
162
590
0
31 Dec 2020
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
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