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Investigating Out-of-Distribution Generalization of GNNs: An
Architecture Perspective

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Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective

13 February 2024

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Papers citing "Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective"

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Title
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization Yang Qiu Yixiong Zou Jun Wang Wei Liu Xiangyu Fu R. Li OOD 169 1 0 23 Oct 2025
Invariant Graph Transformer for Out-of-Distribution Generalization Tianyin Liao Ziwei Zhang Yufei Sun Chunyu Hu Jianxin Li OOD 154 1 0 01 Aug 2025
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities Itay Niv Neta Rabin OOD 165 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 275 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 373 10 0 25 Oct 2024
Adaptive Universal Generalized PageRank Graph Neural NetworkInternational Conference on Learning Representations (ICLR), 2020 Eli Chien Jianhao Peng Pan Li O. Milenkovic 964 916 0 14 Jun 2020