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ALEX: Towards Effective Graph Transfer Learning with Noisy Labels

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels

26 September 2023
Jingyang Yuan
Xiao Luo
Yifang Qin
Zhengyan Mao
Wei Ju
Ming Zhang
    AAML
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Papers citing "ALEX: Towards Effective Graph Transfer Learning with Noisy Labels"

17 / 17 papers shown
Title
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Aochuan Chen
Jia Li
69
0
0
14 Mar 2025
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Xiao Luo
40
1
0
13 Sep 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
45
1
0
11 Jun 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label
  Noise
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
Zhonghao Wang
Danyu Sun
Sheng Zhou
Haobo Wang
Jiapei Fan
Longtao Huang
Jiajun Bu
NoLa
27
0
0
06 Jun 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression
  Model for Node Classification
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Jiachen Chen
Danyang Huang
Liyuan Wang
Kathryn L. Lunetta
Debarghya Mukherjee
Huimin Cheng
30
0
0
26 May 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
36
35
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
47
2
0
04 Mar 2024
Graph Domain Adaptation: Challenges, Progress and Prospects
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi
Yongqing Wang
Fangda Guo
Bingbing Xu
Huawei Shen
Xueqi Cheng
OOD
37
5
0
01 Feb 2024
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
51
141
0
11 Apr 2023
Kernel-based Substructure Exploration for Next POI Recommendation
Kernel-based Substructure Exploration for Next POI Recommendation
Wei Ju
Yifang Qin
Ziyue Qiao
Xiao Luo
Yifan Wang
Yanjie Fu
Ming Zhang
53
26
0
08 Oct 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang
Li Shen
Wanyue Zhang
Chuan-Sheng Foo
TTA
52
17
0
30 May 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
99
224
0
30 Jan 2022
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
109
113
0
29 Sep 2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime
  Forecasting
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang
Zongyu Lin
Xiaochen Yang
Jiao Sun
Mingxuan Yue
Cyrus Shahabi
AI4TS
71
28
0
27 Sep 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
NoLa
73
116
0
05 Aug 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,332
0
28 May 2015
A Multi-View Embedding Space for Modeling Internet Images, Tags, and
  their Semantics
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics
Yunchao Gong
Qifa Ke
Michael Isard
Svetlana Lazebnik
3DV
76
584
0
18 Dec 2012
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