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Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts

Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts

18 August 2024
Jinluan Yang
Zhengyu Chen
Teng Xiao
Wenqiao Zhang
Yong Lin
Kun Kuang
ArXivPDFHTML

Papers citing "Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts"

5 / 5 papers shown
Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
W. Liu
Zhongyu Niu
Lang Gao
Zhiying Deng
Jun Wang
H. Wang
Ruixuan Li
52
1
0
04 May 2025
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
89
222
0
30 Jan 2022
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
197
0
22 Mar 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
888
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
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