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Deep Insights into Noisy Pseudo Labeling on Graph Data

Deep Insights into Noisy Pseudo Labeling on Graph Data

2 October 2023
Botao Wang
Jia Li
Yang Liu
Jiashun Cheng
Yu Rong
Wenjia Wang
Fugee Tsung
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Deep Insights into Noisy Pseudo Labeling on Graph Data"

16 / 16 papers shown
Title
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
122
10
0
11 Mar 2024
Semi-Supervised Hierarchical Graph Classification
Semi-Supervised Hierarchical Graph Classification
Jia Li
Yongfeng Huang
Heng Chang
Yu Rong
60
29
0
11 Jun 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under
  Distribution Shift
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
Binbin Hu
Xiao Wang
Chuan Shi
Qing Cui
Jun Zhou
152
55
0
27 Jan 2022
Deconvolutional Networks on Graph Data
Deconvolutional Networks on Graph Data
Jia Li
Jiajin Li
Yang Liu
Jianwei Yu
Yueting Li
Hongtao Cheng
GNN
58
21
0
29 Oct 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
180
2,966
0
14 Jun 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
89
306
0
30 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
Guosheng Lin
SSL
82
263
0
23 Nov 2020
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive
  Object Re-ID
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Yixiao Ge
Feng Zhu
Dapeng Chen
Rui Zhao
Hongsheng Li
VLM
69
562
0
04 Jun 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
157
3,558
0
21 Jan 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain
  Adaptation on Person Re-identification
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Yixiao Ge
Dapeng Chen
Hongsheng Li
89
558
0
06 Jan 2020
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSLLRM
273
274
0
30 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
342
795
0
26 Aug 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Jia Li
Yu Rong
Hong Cheng
Helen Meng
Wen-bing Huang
Junzhou Huang
35
151
0
10 Apr 2019
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
100
1,937
0
27 Feb 2018
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,586
0
21 Nov 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,876
0
03 Jul 2016
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