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Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs

Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs

17 February 2024
Shuhan Liu
Kaize Ding
    OOD
ArXivPDFHTML

Papers citing "Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs"

7 / 7 papers shown
Title
Distribution Consistency based Self-Training for Graph Neural Networks
  with Sparse Labels
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang
Tianxiang Zhao
Suhang Wang
8
2
0
18 Jan 2024
Semi-supervised Domain Adaptation in Graph Transfer Learning
Semi-supervised Domain Adaptation in Graph Transfer Learning
Ziyue Qiao
Xiao Luo
Meng Xiao
Hao Dong
Yuanchun Zhou
Hui Xiong
OOD
42
21
0
19 Sep 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
117
86
0
31 Dec 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
84
59
0
07 Oct 2022
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
56
34
0
04 Oct 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under
  Distribution Shift
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
Binbin Hu
Xiao Wang
Chuan Shi
Zhiqiang Zhang
Jun Zhou
90
52
0
27 Jan 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
125
112
0
17 Oct 2020
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