Explaining and Adapting Graph Conditional Shift

5 June 2023

Papers citing "Explaining and Adapting Graph Conditional Shift"

10 / 10 papers shown

Title
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 309 0 0 25 Feb 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 158 5 0 25 Oct 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 255 1 0 20 May 2024
Pairwise Alignment Improves Graph Domain Adaptation Shikun Liu Deyu Zou Han Zhao Pan Li OOD 116 9 0 02 Mar 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 71 6 0 17 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 104 10 0 14 Feb 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu Zeyu Fang Zhen Zhang Ming Gu Sheng Zhou Xin Eric Wang Jiajun Bu AI4CE 91 16 0 08 Feb 2024
Graph Domain Adaptation: Challenges, Progress and Prospects Boshen Shi Yongqing Wang Fangda Guo Bingbing Xu Huawei Shen Xueqi Cheng OOD 61 7 0 01 Feb 2024
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 101 41 0 29 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 72 5 0 24 Oct 2023