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Explaining and Adapting Graph Conditional Shift

Explaining and Adapting Graph Conditional Shift

5 June 2023
Qi Zhu
Yizhu Jiao
Natalia Ponomareva
Jiawei Han
Bryan Perozzi
    OOD
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Papers citing "Explaining and Adapting Graph Conditional Shift"

14 / 14 papers shown
Title
Structural Alignment Improves Graph Test-Time Adaptation
Structural Alignment Improves Graph Test-Time Adaptation
Hans Hao-Hsun Hsu
Shikun Liu
Han Zhao
Pan Li
OOD
TTA
58
0
0
25 Feb 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
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
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
45
1
0
20 May 2024
Pairwise Alignment Improves Graph Domain Adaptation
Pairwise Alignment Improves Graph Domain Adaptation
Shikun Liu
Deyu Zou
Han Zhao
Pan Li
OOD
31
7
0
02 Mar 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Shuhan Liu
Kaize Ding
OOD
22
5
0
17 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
Subgraph Pooling: Tackling Negative Transfer on Graphs
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
34
6
0
14 Feb 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Meihan Liu
Zeyu Fang
Zhen Zhang
Ming Gu
Sheng Zhou
Xin Eric Wang
Jiajun Bu
AI4CE
33
14
0
08 Feb 2024
Graph Domain Adaptation: Challenges, Progress and Prospects
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi
Yongqing Wang
Fangda Guo
Bingbing Xu
Huawei Shen
Xueqi Cheng
OOD
32
5
0
01 Feb 2024
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
19
33
0
29 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang
Yinglong Xia
Ross Maciejewski
Jiebo Luo
Hanghang Tong
29
4
0
24 Oct 2023
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph
  Neural Networks
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
Ching-Yao Chuang
Stefanie Jegelka
OOD
59
34
0
04 Oct 2022
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
139
123
0
17 Oct 2020
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
100
151
0
23 Jul 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,316
0
28 May 2015
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