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Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
v1v2 (latest)

Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization

13 June 2023
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
    OODDOOD
ArXiv (abs)PDFHTMLGithub

Papers citing "Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization"

10 / 10 papers shown
Out-of-Distribution Graph Models Merging
Out-of-Distribution Graph Models Merging
Yidi Wang
Jiawei Gu
pei Xiaobing
Xubin Zheng
Xiao Luo
Pengyang Wang
Ziyue Qiao
MoMe
412
0
0
04 Jun 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference
Out-of-Distribution Generalization on Graphs via Progressive InferenceAAAI Conference on Artificial Intelligence (AAAI), 2025
Yiming Xu
Bin Shi
Zhen Peng
Huixiang Liu
Bo Dong
Chen Chen
OODAI4CE
445
3
0
04 Mar 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 Li
Jundong Li
Kaize Ding
OOD
533
14
0
25 Oct 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
534
6
0
03 Aug 2024
How Interpretable Are Interpretable Graph Neural Networks?
How Interpretable Are Interpretable Graph Neural Networks?
Yongqiang Chen
Yatao Bian
Bo Han
James Cheng
259
17
0
12 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin
Jacob Helwig
Shurui Gui
Shuiwang Ji
465
20
0
11 Jun 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic ReviewReviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
435
34
0
15 Dec 2023
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Neural Information Processing Systems (NeurIPS), 2023
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
308
65
0
29 Oct 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CMLOOD
698
46
0
01 Jun 2023
FlowX: Towards Explainable Graph Neural Networks via Message Flows
FlowX: Towards Explainable Graph Neural Networks via Message FlowsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shurui Gui
Hao Yuan
Jie Wang
Qicheng Lao
Kang Li
Shuiwang Ji
367
28
0
26 Jun 2022
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