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. 2312.08852
  4. Cited By
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise
  Tolerance

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance

13 December 2023
Ling-Hao Chen
Yuanshuo Zhang
Taohua Huang
Liangcai Su
Zeyi Lin
Xi Xiao
Xiaobo Xia
Tongliang Liu
    NoLa
ArXivPDFHTML

Papers citing "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"

11 / 11 papers shown
Title
GNNs as Predictors of Agentic Workflow Performances
Y. Zhang
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
S. Chen
LLMAG
AI4CE
60
0
0
14 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 R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
Rethinking the impact of noisy labels in graph classification: A utility
  and privacy perspective
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
De Li
Xianxian Li
Zeming Gan
Qiyu Li
Bin Qu
Jinyan Wang
NoLa
38
1
0
11 Jun 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
34
36
0
07 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection
Mitigating Label Noise on Graph via Topological Sample Selection
Yuhao Wu
Jiangchao Yao
Xiaobo Xia
Jun-chen Yu
Ruxing Wang
Bo Han
Tongliang Liu
NoLa
42
2
0
04 Mar 2024
Beyond Two-Tower Matching: Learning Sparse Retrievable
  Cross-Interactions for Recommendation
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation
Liangcai Su
Fan Yan
Jieming Zhu
Xi Xiao
Haoyi Duan
Zhou Zhao
Zhenhua Dong
Ruiming Tang
11
9
0
30 Nov 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label
  Noise
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
Yao Cheng
Caihua Shan
Yifei Shen
Xiang Li
Siqiang Luo
Dongsheng Li
17
5
0
25 Oct 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
130
194
0
20 Oct 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
494
0
05 Mar 2020
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
229
1,935
0
09 Jun 2018
1