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Distribution Consistency based Self-Training for Graph Neural Networks
  with Sparse Labels

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels

18 January 2024
Fali Wang
Tianxiang Zhao
Suhang Wang
ArXivPDFHTML

Papers citing "Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels"

11 / 11 papers shown
Title
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Zhixun Li
Dingshuo Chen
Tong Zhao
D. Wang
Hongrui Liu
Zhiqiang Zhang
Jun Zhou
Jeffrey Xu Yu
SSL
82
0
0
10 Feb 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
Zhe-Rui Yang
Jindong Han
Chang-Dong Wang
Hao Liu
OffRL
26
1
0
08 Jan 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph
  Self-training
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
Fali Wang
Tianxiang Zhao
Junjie Xu
Suhang Wang
22
0
0
25 Jul 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively
  Distilling Knowledge from Large Language Models
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
Quan Li
Tianxiang Zhao
Lingwei Chen
Junjie Xu
Suhang Wang
AI4CE
31
0
0
19 Jul 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Shuhan Liu
Kaize Ding
OOD
16
5
0
17 Feb 2024
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CML
AI4CE
27
18
0
03 Apr 2023
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
Zhiqiang Zhang
Jun Zhou
90
52
0
27 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
91
113
0
29 Sep 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
84
445
0
04 Jan 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
149
9,300
0
28 May 2015
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