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GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via
  Test-time Augmentation

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation

1 October 2023
Mingxuan Ju
Tong Zhao
Wenhao Yu
Neil Shah
Yanfang Ye
ArXivPDFHTML

Papers citing "GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation"

13 / 13 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
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
Jiasheng Zhang
Deqiang Ouyang
Shuang Liang
Jie Shao
25
0
0
03 Jan 2025
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
90
2
0
02 Oct 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain
  Adaptation
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
Meihan Liu
Zhen Zhang
Jiachen Tang
Jiajun Bu
Bingsheng He
Sheng Zhou
19
3
0
09 Jul 2024
Motif-driven Subgraph Structure Learning for Graph Classification
Motif-driven Subgraph Structure Learning for Graph Classification
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Jiawei Chen
Qingyun Sun
Yan Feng
Chun-Yen Chen
Can Wang
43
1
0
13 Jun 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian
Jian Kang
Yizhou Sun
AI4CE
32
4
0
04 Apr 2024
How Does Message Passing Improve Collaborative Filtering?
How Does Message Passing Improve Collaborative Filtering?
Mingxuan Ju
William Shiao
Zhichun Guo
Yanfang Ye
Yozen Liu
Neil Shah
Tong Zhao
40
4
0
27 Mar 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
46
8
0
11 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
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
60
0
07 Oct 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question
  Answering
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
Mingxuan Ju
W. Yu
Tong Zhao
Chuxu Zhang
Yanfang Ye
61
24
0
06 Oct 2022
Adaptive Kernel Graph Neural Network
Adaptive Kernel Graph Neural Network
Mingxuan Ju
Shifu Hou
Yujie Fan
Jianan Zhao
Liang Zhao
Yanfang Ye
75
24
0
08 Dec 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng-Long Jiang
Nitesh V. Chawla
AI4CE
106
168
0
16 Feb 2021
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