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NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label
  Noise
v1v2 (latest)

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

6 June 2024
Zhonghao Wang
Danyu Sun
Sheng Zhou
Haobo Wang
Jiapei Fan
Longtao Huang
Jiajun Bu
    NoLa
ArXiv (abs)PDFHTMLGithub (24★)

Papers citing "NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise"

15 / 15 papers shown
Title
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning
  Benchmarks
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li
Miao Xiong
Bryan Hooi
61
7
0
30 May 2023
A critical look at the evaluation of GNNs under heterophily: Are we
  really making progress?
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov
Denis Kuznedelev
Michael Diskin
Artem Babenko
Liudmila Prokhorenkova
90
222
0
22 Feb 2023
Robust Training of Graph Neural Networks via Noise Governance
Robust Training of Graph Neural Networks via Noise Governance
Siyi Qian
Haochao Ying
Renjun Hu
Jingbo Zhou
Jintai Chen
Danny Chen
Jian Wu
NoLa
103
37
0
12 Nov 2022
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely
  and Noisily Labeled Graphs
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Enyan Dai
Charu C. Aggarwal
Suhang Wang
NoLa
82
120
0
08 Jun 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise
Unified Robust Training for Graph NeuralNetworks against Label Noise
Yayong Li
Jie Yin
Ling-Hao Chen
NoLa
58
30
0
05 Mar 2021
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNNAI4TSAI4CE
227
879
0
27 Jan 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
111
992
0
16 Jul 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma
Hanxun Huang
Yisen Wang
Simone Romano
S. Erfani
James Bailey
NoLa
73
445
0
24 Jun 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
351
518
0
05 Mar 2020
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang
Xingjun Ma
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
96
904
0
16 Aug 2019
Learning Graph Neural Networks with Noisy Labels
Learning Graph Neural Networks with Noisy Labels
Hoang NT
C. J. Jin
T. Murata
NoLa
43
50
0
05 May 2019
How does Disagreement Help Generalization against Label Corruption?
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu
Bo Han
Jiangchao Yao
Gang Niu
Ivor W. Tsang
Masashi Sugiyama
NoLa
76
787
0
14 Jan 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,365
0
14 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
251
7,695
0
01 Oct 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
654
29,154
0
09 Sep 2016
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