ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.13303
  4. Cited By
Graph-based Semi-supervised Learning: A Comprehensive Review

Graph-based Semi-supervised Learning: A Comprehensive Review

26 February 2021
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
ArXivPDFHTML

Papers citing "Graph-based Semi-supervised Learning: A Comprehensive Review"

17 / 17 papers shown
Title
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Qian Xu
Lei Zhang
Y. Liu
29
0
0
10 May 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen
Taotao Wang
Yixiang Fang
Yunyu Xiao
BDL
100
1
0
26 Mar 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian
Liuhua Peng
Zhijian Zhou
M. Gong
Feng Liu
Feng Liu
87
0
0
30 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
42
2
0
28 Oct 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
Gokul Bhusal
Kevin Miller
E. Merkurjev
36
0
0
14 Sep 2024
Towards Effective and General Graph Unlearning via Mutual Evolution
Towards Effective and General Graph Unlearning via Mutual Evolution
Xunkai Li
Yulin Zhao
Zhengyu Wu
Wentao Zhang
Ronghua Li
Guoren Wang
MU
27
14
0
22 Jan 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised
  Learning under the Low Density Separation Assumption
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov
Malik Tiomoko
Aladin Virmaux
31
5
0
20 Oct 2023
Local Structure-aware Graph Contrastive Representation Learning
Local Structure-aware Graph Contrastive Representation Learning
Kai Yang
Yuan Liu
Zijuan Zhao
P. Ding
Wen-feng Zhao
27
3
0
07 Aug 2023
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by
  Coordinate Descent
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
Sara Venturini
Andrea Cristofari
Francesco Rinaldi
Francesco Tudisco
23
2
0
28 Jan 2023
Graph Component Contrastive Learning for Concept Relatedness Estimation
Graph Component Contrastive Learning for Concept Relatedness Estimation
Yueen Ma
Zixing Song
Xuming Hu
Jingjing Li
Yifei Zhang
Irwin King
32
12
0
25 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
36
90
0
09 Jun 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node Classification
Tian Xie
R. Kannan
C.-C. Jay Kuo
24
2
0
19 Apr 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu-Chiang Frank Wang
Yuying Zhao
Neil Shah
Tyler Derr
25
47
0
01 Dec 2021
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive
  Crossbars
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
Bo Lyu
Shengbo Wang
S. Wen
Kaibo Shi
Yin Yang
Lingfang Zeng
Tingwen Huang
19
2
0
15 Nov 2021
Multimodality in Meta-Learning: A Comprehensive Survey
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
47
53
0
28 Sep 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao
Feng Chen
Shu Hu
Jin-Hee Cho
UQCV
EDL
BDL
112
130
0
24 Oct 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
1