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Finding Diverse and Predictable Subgraphs for Graph Domain
  Generalization

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization

19 June 2022
Junchi Yu
Jian Liang
Xiao-Yu Zhang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Finding Diverse and Predictable Subgraphs for Graph Domain Generalization"

9 / 9 papers shown
Title
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary EnvironmentsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Qingyun Sun
Jiayi Luo
Haonan Yuan
Xingcheng Fu
Hao Peng
Jianxin Li
Philip S. Yu
146
0
0
04 Nov 2025
Graph Augmentation for Cross Graph Domain Generalization
Graph Augmentation for Cross Graph Domain Generalization
Guanzi Chen
Jiying Zhang
Yang Li
283
1
0
25 Feb 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Subgraph Aggregation for Out-of-Distribution Generalization on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2024
Bowen Liu
Haoyang Li
Shuning Wang
Shuo Nie
Shanghang Zhang
OODDCML
257
1
0
29 Oct 2024
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
333
9
0
25 Oct 2024
Subequivariant Reinforcement Learning Framework for Coordinated Motion
  Control
Subequivariant Reinforcement Learning Framework for Coordinated Motion ControlIEEE International Conference on Robotics and Automation (ICRA), 2024
Haoyu Wang
Jue Chen
Xihe Qiu
Chao Qu
209
2
0
22 Mar 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of
  Aligned Experts
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsNeural Information Processing Systems (NeurIPS), 2023
Shirley Wu
Kaidi Cao
Bruno Ribeiro
James Zou
J. Leskovec
OOD
181
12
0
07 Dec 2023
Is Self-Supervised Pretraining Good for Extrapolation in Molecular
  Property Prediction?
Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction?
Shun Takashige
Masatoshi Hanai
Toyotaro Suzumura
Limin Wang
Kenjiro Taura
102
1
0
16 Aug 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODDOOD
254
14
0
13 Jun 2023
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODCML
344
116
0
16 Feb 2022
1