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Active Learning for Graph Neural Networks via Node Feature Propagation

Active Learning for Graph Neural Networks via Node Feature Propagation

16 October 2019
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
    GNN
    AI4CE
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Papers citing "Active Learning for Graph Neural Networks via Node Feature Propagation"

10 / 10 papers shown
Title
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Felix Burr
Marcel Hoffmann
A. Scherp
SSL
80
0
0
25 Apr 2025
LEGO-Learn: Label-Efficient Graph Open-Set Learning
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
51
5
0
21 Oct 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
23
10
0
02 May 2024
DiffusAL: Coupling Active Learning with Graph Diffusion for
  Label-Efficient Node Classification
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification
Sandra Gilhuber
Julian Busch
Daniel Rotthues
Christian M. m. Frey
Thomas Seidl
DiffM
11
1
0
31 Jul 2023
SMARTQUERY: An Active Learning Framework for Graph Neural Networks
  through Hybrid Uncertainty Reduction
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
Xiaoting Li
Yuhang Wu
Vineeth Rakesh
Yusan Lin
Hao Yang
Fei Wang
GNN
23
7
0
02 Dec 2022
Partition-Based Active Learning for Graph Neural Networks
Partition-Based Active Learning for Graph Neural Networks
Jiaqi Ma
Ziqiao Ma
Joyce Chai
Qiaozhu Mei
14
15
0
23 Jan 2022
Graph-based Reinforcement Learning for Active Learning in Real Time: An
  Application in Modeling River Networks
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks
X. Jia
Beiyu Lin
Jacob Aaron Zwart
J. Sadler
A. Appling
S. Oliver
J. Read
OffRL
AI4CE
23
6
0
27 Oct 2020
Active Learning for Entity Alignment
Active Learning for Entity Alignment
M. Berrendorf
Evgeniy Faerman
Volker Tresp
13
17
0
24 Jan 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
226
1,726
0
09 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,329
0
12 Feb 2018
1