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SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
v1v2 (latest)

SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
22 August 2019
Yayong Li
Jie Yin
Ling-Hao Chen
ArXiv (abs)PDFHTML

Papers citing "SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs"

12 / 12 papers shown
RANA: Robust Active Learning for Noisy Network Alignment
RANA: Robust Active Learning for Noisy Network Alignment
Yixuan Nan
Xixun Lin
Yanmin Shang
Zhuofan Li
Can Zhao
Yanan Cao
179
0
0
30 Jul 2025
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
814
17
0
02 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
551
114
0
01 May 2024
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A SurveyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
408
35
0
08 Oct 2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Towards Data-centric Graph Machine Learning: Review and Outlook
Xin Zheng
Yixin Liu
Zhifeng Bao
Meng Fang
Xia Hu
Alan Wee-Chung Liew
Shirui Pan
GNNAI4CE
323
24
0
20 Sep 2023
Overcoming Overconfidence for Active Learning
Overcoming Overconfidence for Active LearningIEEE Access (IEEE Access), 2023
Yujin Hwang
Won Jo
Juyoung Hong
Yukyung Choi
221
4
0
21 Aug 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on
  Graphs
Generative Flow Networks for Precise Reward-Oriented Active Learning on GraphsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yinchuan Li
Zhigang Li
Wenqian Li
Yunfeng Shao
Yan Zheng
Jianye Hao
227
3
0
24 Apr 2023
Information Gain Propagation: a new way to Graph Active Learning with
  Soft Labels
Information Gain Propagation: a new way to Graph Active Learning with Soft LabelsInternational Conference on Learning Representations (ICLR), 2022
Wentao Zhang
Yexin Wang
Zhenbang You
Meng Cao
Ping Huang
Jiulong Shan
Zhi-Xin Yang
Tengjiao Wang
AAML
267
24
0
02 Mar 2022
Learning Asymmetric Embedding for Attributed Networks via Convolutional
  Neural Network
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural NetworkExpert systems with applications (ESWA), 2022
Mohammadreza Radmanesh
Hossein Ghorbanzadeh
Ahmad Asgharian Rezaei
Mahdi Jalili
Xinghuo Yu
111
4
0
13 Feb 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
314
19
0
23 Jan 2022
GraphHop: An Enhanced Label Propagation Method for Node Classification
GraphHop: An Enhanced Label Propagation Method for Node ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jia Zhang
Bin Wang
C.-C. Jay Kuo
305
48
0
07 Jan 2021
LSCALE: Latent Space Clustering-Based Active Learning for Node
  Classification
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification
Juncheng Liu
Yiwei Wang
Bryan Hooi
Renchi Yang
X. Xiao
343
8
0
13 Dec 2020
1
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