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2103.03414
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Unified Robust Training for Graph NeuralNetworks against Label Noise
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
5 March 2021
Yayong Li
Jie Yin
Ling-Hao Chen
NoLa
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Papers citing
"Unified Robust Training for Graph NeuralNetworks against Label Noise"
16 / 16 papers shown
When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label
Riting Xia
Rucong Wang
Y. Liu
Anchen Li
Xueyan Liu
Yan Zhang
366
0
0
24 Jul 2025
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
Neural Information Processing Systems (NeurIPS), 2024
Zhonghao Wang
Danyu Sun
Sheng Zhou
Haobo Wang
Jiapei Fan
Longtao Huang
Jiajun Bu
NoLa
254
16
0
06 Jun 2024
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation
Yujing Liu
Zongqian Wu
Zhengyu Lu
Ci Nie
Guoqiu Wen
Ping Hu
Xiaofeng Zhu
290
3
0
27 Apr 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Nan Yin
Senzhang Wang
Xinwang Liu
Philip S. Yu
Ming Zhang
AI4CE
414
89
0
07 Mar 2024
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
382
7
0
04 Mar 2024
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
International Conference on Information and Knowledge Management (CIKM), 2023
Ling-Hao Chen
Yuanshuo Zhang
Taohua Huang
Liangcai Su
Zeyi Lin
Xi Xiao
Xiaobo Xia
Tongliang Liu
NoLa
347
16
0
13 Dec 2023
Resist Label Noise with PGM for Graph Neural Networks
Qingqing Ge
Jianxiang Yu
Zeyuan Zhao
Xiang Li
NoLa
AAML
290
0
0
03 Nov 2023
Combating Bilateral Edge Noise for Robust Link Prediction
Neural Information Processing Systems (NeurIPS), 2023
Zhanke Zhou
Jiangchao Yao
Jiaxu Liu
Xiawei Guo
Quanming Yao
Li He
Liang Wang
Bo Zheng
Bo Han
AAML
NoLa
315
22
0
02 Nov 2023
Data-centric Graph Learning: A Survey
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
409
35
0
08 Oct 2023
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
International Conference on Information and Knowledge Management (CIKM), 2022
Jun Zhuang
M. Hasan
236
21
0
21 Aug 2022
CLNode: Curriculum Learning for Node Classification
Web Search and Data Mining (WSDM), 2022
Xiaowen Wei
Xiuwen Gong
Yibing Zhan
Bo Du
Yong Luo
Wenbin Hu
189
41
0
15 Jun 2022
Bayesian Robust Graph Contrastive Learning
Yancheng Wang
Yingzhen Yang
OOD
349
3
0
27 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Yanfeng Guo
P. Zhao
OOD
375
29
0
20 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
405
219
0
18 Apr 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
405
10
0
15 Feb 2022
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Qifeng Bai
Wenbing Huang
Shouqing Yang
Junzhou Huang
NoLa
273
24
0
14 Jun 2021
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