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GraphTTA: Test Time Adaptation on Graph Neural Networks

GraphTTA: Test Time Adaptation on Graph Neural Networks

19 August 2022
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Y. Li
    OOD
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Papers citing "GraphTTA: Test Time Adaptation on Graph Neural Networks"

11 / 11 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
Safety in Graph Machine Learning: Threats and Safeguards
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
Graph Learning under Distribution Shifts: A Comprehensive Survey on
  Domain Adaptation, Out-of-distribution, and Continual Learning
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu
Xin-Yang Zheng
Qin Zhang
Xiao Shen
Xiong Luo
Xingquan Zhu
Shirui Pan
OOD
65
6
0
26 Feb 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
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
25
201
0
27 Mar 2023
Preventing Over-Smoothing for Hypergraph Neural Networks
Preventing Over-Smoothing for Hypergraph Neural Networks
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Yang Li
13
22
0
31 Mar 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OOD
CML
14
96
0
16 Feb 2022
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
88
222
0
24 Oct 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
216
783
0
26 Aug 2019
MoleculeNet: A Benchmark for Molecular Machine Learning
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
159
1,748
0
02 Mar 2017
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