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. 2408.07941
  4. Cited By
Robust Offline Active Learning on Graphs

Robust Offline Active Learning on Graphs

15 August 2024
Yuanchen Wu
Yubai Yuan
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Robust Offline Active Learning on Graphs"

12 / 12 papers shown
Title
A Structural-Clustering Based Active Learning for Graph Neural Networks
A Structural-Clustering Based Active Learning for Graph Neural Networks
R. Fajri
Yulong Pei
Lu Yin
Mykola Pechenizkiy
GNN
51
2
0
07 Dec 2023
RIM: Reliable Influence-based Active Learning on Graphs
RIM: Reliable Influence-based Active Learning on Graphs
Wentao Zhang
Yexin Wang
Zhenbang You
Mengyao Cao
Ping Huang
Jiulong Shan
Zhi-Xin Yang
Tengjiao Wang
61
32
0
28 Oct 2021
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
103
1,146
0
30 Aug 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic
  Regression and Preemptive Query Generation
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol
Soumyasundar Pal
Yingxue Zhang
Mark Coates
20
12
0
09 Jul 2020
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
244
3,179
0
19 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
780
8,554
0
03 Jan 2019
Active Regression via Linear-Sample Sparsification
Active Regression via Linear-Sample Sparsification
Xue Chen
Eric Price
111
62
0
27 Nov 2017
Near-Optimal Discrete Optimization for Experimental Design: A Regret
  Minimization Approach
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach
Zeyuan Allen-Zhu
Yuanzhi Li
Aarti Singh
Yining Wang
64
59
0
14 Nov 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016
Random sampling of bandlimited signals on graphs
Random sampling of bandlimited signals on graphs
Gilles Puy
Nicolas M Tremblay
Rémi Gribonval
P. Vandergheynst
61
158
0
16 Nov 2015
Signal Recovery on Graphs: Variation Minimization
Signal Recovery on Graphs: Variation Minimization
Siheng Chen
A. Sandryhaila
José M. F. Moura
J. Kovacevic
47
270
0
26 Nov 2014
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
133
3,976
0
31 Oct 2012
1