Individual and Structural Graph Information Bottlenecks for
Out-of-Distribution Generalization

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization

28 June 2023

Papers citing "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization"

18 / 18 papers shown

Title
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 66 0 0 04 Mar 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Jundong Li OOD 93 0 0 11 Feb 2025
Context-Aware Deep Learning for Multi Modal Depression Detection Genevieve Lam Huang Dongyan Weisi Lin 26 0 0 26 Dec 2024
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
Improving Graph Out-of-distribution Generalization on Real-world Data Can Xu Yao Cheng Jianxiang Yu Haosen Wang Jingsong Lv Xiang Li OOD 29 0 0 14 Jul 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 42 4 0 12 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 37 7 0 17 May 2024
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 22 4 0 03 Nov 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 27 13 0 04 Aug 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
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
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 58 73 0 24 Jan 2022
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 34 8 0 08 Oct 2021
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 148 123 0 17 Oct 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
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 215 898 0 02 Mar 2020
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 162 1,766 0 02 Mar 2017