Shift-Robust GNNs: Overcoming the Limitations of Localized Graph
Training Data

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data

2 August 2021

Natalia Ponomareva

Papers citing "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data"

11 / 11 papers shown

Title
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 78 0 0 18 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 R. Li Jundong Li Kaize Ding OOD 45 2 0 25 Oct 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 30 0 0 13 Oct 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 51 1 0 18 Aug 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 45 1 0 20 May 2024
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 26 3 0 29 Aug 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 17 12 0 20 Jun 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 15 16 0 06 Feb 2023
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 22 115 0 16 Jun 2022
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 63 46 0 23 Jul 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 786 0 19 Feb 2009