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Mitigating Label Noise on Graph via Topological Sample Selection

Mitigating Label Noise on Graph via Topological Sample Selection

4 March 2024
Yuhao Wu
Jiangchao Yao
Xiaobo Xia
Jun-chen Yu
Ruxing Wang
Bo Han
Tongliang Liu
    NoLa
ArXivPDFHTML

Papers citing "Mitigating Label Noise on Graph via Topological Sample Selection"

6 / 6 papers shown
Title
Unraveling the Impact of Heterophilic Structures on Graph
  Positive-Unlabeled Learning
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu
Jiangchao Yao
Bo Han
Lina Yao
Tongliang Liu
16
1
0
30 May 2024
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by
  Exploring Variant Parameters for Out-of-Distribution Generalization
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
Zhuo Huang
Muyang Li
Li Shen
Jun-chen Yu
Chen Gong
Bo Han
Tongliang Liu
OOD
30
8
0
25 Oct 2023
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence
  Calibration
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
91
113
0
29 Sep 2021
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
85
222
0
24 Oct 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
139
828
0
28 Sep 2019
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
36
170
0
24 May 2019
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