Improving Graph Out-of-distribution Generalization Beyond Causality

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Improving Graph Out-of-distribution Generalization Beyond Causality

14 July 2024

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Papers citing "Improving Graph Out-of-distribution Generalization Beyond Causality"

19 / 19 papers shown

Title
Cooperative Classification and Rationalization for Graph Generalization Linan Yue Qi Liu Ye Liu Weibo Gao Fangzhou Yao Wenfeng Li 75 10 0 10 Mar 2024
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 89 22 0 18 Nov 2023
Learning Invariant Molecular Representation in Latent Discrete Space Zhuang Xiang Qiang Zhang Keyan Ding Yatao Bian Xiao Wang Jingsong Lv Hongyang Chen Huajun Chen OOD 77 20 0 22 Oct 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 81 9 0 24 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Tengjiao Wang 85 16 0 28 Jun 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 82 37 0 05 Nov 2022
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 99 142 0 26 Oct 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 78 123 0 16 Jun 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 165 234 0 30 Jan 2022
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 131 88 0 20 Nov 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 219 1,230 0 02 Mar 2021
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 61 384 0 14 Oct 2020
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 77 106 0 03 Apr 2019
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 182 694 0 15 Nov 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 337 1,837 0 02 Mar 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 105 3,165 0 06 Jul 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,515 0 28 May 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 122 973 0 06 Jan 2015
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 242 6,041 0 26 Sep 2014