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Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
13 February 2024
Kai Guo
Hongzhi Wen
Wei Jin
Yaming Guo
Shucheng Zhou
Yi Chang
OOD
AI4CE
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Papers citing
"Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective"
6 / 6 papers shown
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu
Yixiong Zou
Jun Wang
Wei Liu
Xiangyu Fu
R. Li
OOD
177
1
0
23 Oct 2025
Invariant Graph Transformer for Out-of-Distribution Generalization
Tianyin Liao
Ziwei Zhang
Yufei Sun
Chunyu Hu
Jianxin Li
OOD
176
1
0
01 Aug 2025
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
Itay Niv
Neta Rabin
OOD
174
0
0
25 Jun 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
Qiyi Wang
Yinning Shao
Yunlong Ma
Min Liu
OOD
287
1
0
04 Mar 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
423
11
0
25 Oct 2024
Adaptive Universal Generalized PageRank Graph Neural Network
International Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
993
917
0
14 Jun 2020
1
