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. 1109.3240
  4. Cited By
Active Learning for Node Classification in Assortative and
  Disassortative Networks

Active Learning for Node Classification in Assortative and Disassortative Networks

15 September 2011
Cristopher Moore
Xiaoran Yan
Yaojia Zhu
Jean-Baptiste Rouquier
T. Lane
ArXiv (abs)PDFHTML

Papers citing "Active Learning for Node Classification in Assortative and Disassortative Networks"

14 / 14 papers shown
Title
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments
Maryam Khalid
Akane Sano
50
0
0
11 Jun 2025
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNNAI4CE
101
65
0
16 Oct 2019
Regional based query in graph active learning
Regional based query in graph active learning
R. Abel
Y. Louzoun
GNN
59
6
0
20 Jun 2019
Active image restoration
Active image restoration
Rongrong Xie
Shengfeng Deng
Weibing Deng
A. Allahverdyan
15
1
0
22 Sep 2018
Graph-based semi-supervised learning for relational networks
Graph-based semi-supervised learning for relational networks
Leto Peel
84
39
0
15 Dec 2016
Bayesian Model Selection of Stochastic Block Models
Bayesian Model Selection of Stochastic Block Models
Xiaoran Yan
65
35
0
23 May 2016
Network structure, metadata and the prediction of missing nodes and
  annotations
Network structure, metadata and the prediction of missing nodes and annotations
Darko Hric
Tiago P. Peixoto
S. Fortunato
83
90
0
01 Apr 2016
Structure and inference in annotated networks
Structure and inference in annotated networks
Mark E. J. Newman
A. Clauset
124
351
0
14 Jul 2015
Semi-Supervised Learning with Heterophily
Semi-Supervised Learning with Heterophily
Wolfgang Gatterbauer
70
15
0
09 Dec 2014
Active Discovery of Network Roles for Predicting the Classes of Network
  Nodes
Active Discovery of Network Roles for Predicting the Classes of Network Nodes
Leto Peel
67
12
0
27 Dec 2013
Hierarchical Block Structures and High-resolution Model Selection in
  Large Networks
Hierarchical Block Structures and High-resolution Model Selection in Large Networks
Tiago P. Peixoto
156
376
0
16 Oct 2013
Scalable Text and Link Analysis with Mixed-Topic Link Models
Scalable Text and Link Analysis with Mixed-Topic Link Models
Yaojia Zhu
Xiaoran Yan
Lise Getoor
Cristopher Moore
162
60
0
28 Mar 2013
Model Selection for Degree-corrected Block Models
Model Selection for Degree-corrected Block Models
Xiaoran Yan
C. Shalizi
Jacob E. Jensen
Florent Krzakala
Cristopher Moore
Lenka Zdeborova
Pan Zhang
Yaojia Zhu
99
119
0
17 Jul 2012
Oriented and Degree-generated Block Models: Generating and Inferring
  Communities with Inhomogeneous Degree Distributions
Oriented and Degree-generated Block Models: Generating and Inferring Communities with Inhomogeneous Degree Distributions
Yaojia Zhu
Xiaoran Yan
Cristopher Moore
103
30
0
31 May 2012
1