ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.03865
  4. Cited By
Stable Prediction on Graphs with Agnostic Distribution Shift

Stable Prediction on Graphs with Agnostic Distribution Shift

8 October 2021
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Fei Wu
    OOD
ArXivPDFHTML

Papers citing "Stable Prediction on Graphs with Agnostic Distribution Shift"

8 / 8 papers shown
Title
Negative as Positive: Enhancing Out-of-distribution Generalization for
  Graph Contrastive Learning
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning
Zixu Wang
Bingbing Xu
Yige Yuan
Huawei Shen
Xueqi Cheng
OODD
37
2
0
25 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
67
6
0
26 Feb 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of
  Aligned Experts
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu
Kaidi Cao
Bruno Ribeiro
James Y. Zou
J. Leskovec
OOD
16
3
0
07 Dec 2023
Individual and Structural Graph Information Bottlenecks for
  Out-of-Distribution Generalization
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Ling Yang
Jiayi Zheng
Heyuan Wang
Zhongyi Liu
Zhilin Huang
Shenda Hong
Wentao Zhang
Bin Cui
22
13
0
28 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for
  Multimedia Recommendation
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
Jinghao Zhang
Qiang Liu
Shu Wu
Liang Wang
16
8
0
25 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
30
32
0
02 Jun 2023
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
21
96
0
16 Feb 2022
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
1