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Dissimilar Nodes Improve Graph Active Learning

Dissimilar Nodes Improve Graph Active Learning

5 December 2022
Zhicheng Ren
Yifu Yuan
Yuxin Wu
Xiaxuan Gao
Yewen Wang
Yizhou Sun
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Papers citing "Dissimilar Nodes Improve Graph Active Learning"

17 / 17 papers shown
Title
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
66
1
0
13 Sep 2024
Partition-Based Active Learning for Graph Neural Networks
Partition-Based Active Learning for Graph Neural Networks
Jiaqi Ma
Ziqiao Ma
Joyce Chai
Qiaozhu Mei
52
18
0
23 Jan 2022
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
93
1,139
0
30 Aug 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
119
1,485
0
04 Jul 2020
Graph Policy Network for Transferable Active Learning on Graphs
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu
Zheng Xiong
Meng Qu
Xingdi Yuan
Marc-Alexandre Côté
Zhiyuan Liu
Jian Tang
GNN
184
66
0
24 Jun 2020
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
GNN
AI4CE
73
65
0
16 Oct 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
264
860
0
28 Sep 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
89
911
0
30 Apr 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
233
3,172
0
19 Feb 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
292
2,146
0
22 Jun 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
501
15,232
0
07 Jun 2017
Active Learning for Graph Embedding
Active Learning for Graph Embedding
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
GNN
92
101
0
15 May 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
189
4,815
0
17 Mar 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
68
1,735
0
08 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
617
29,051
0
09 Sep 2016
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
138
5,335
0
12 Mar 2015
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