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RIM: Reliable Influence-based Active Learning on Graphs

RIM: Reliable Influence-based Active Learning on Graphs

28 October 2021
Wentao Zhang
Yexin Wang
Zhenbang You
Mengyao Cao
Ping-Chia Huang
Jiulong Shan
Zhi-Xin Yang
Bin Cui
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Papers citing "RIM: Reliable Influence-based Active Learning on Graphs"

16 / 16 papers shown
Title
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
Hongliang Chi
Qiong Wu
Zhengyi Zhou
Yao Ma
TDI
AAML
60
0
0
23 Mar 2025
Efficient Data Selection for Training Genomic Perturbation Models
Efficient Data Selection for Training Genomic Perturbation Models
G. Panagopoulos
J. Lutzeyer
Sofiane Ennadir
Michalis Vazirgiannis
Jun Pang
58
0
0
18 Mar 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
Xunkai Li
Bowen Fan
Zhengyu Wu
Zhiyu Li
Rong-Hua Li
Guoren Wang
MU
30
0
0
21 Jan 2025
Perturbation-based Graph Active Learning for Weakly-Supervised Belief
  Representation Learning
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning
Dachun Sun
Ruijie Wang
Jinning Li
Ruipeng Han
Xinyi Liu
You Lyu
Tarek F. Abdelzaher
24
0
0
24 Oct 2024
Robust Offline Active Learning on Graphs
Robust Offline Active Learning on Graphs
Yuanchen Wu
Yubai Yuan
OffRL
16
0
0
15 Aug 2024
Active Learning for Graphs with Noisy Structures
Active Learning for Graphs with Noisy Structures
Hongliang Chi
Cong Qi
Suhang Wang
Yao Ma
20
0
0
04 Feb 2024
Label-free Node Classification on Graphs with Large Language Models
  (LLMS)
Label-free Node Classification on Graphs with Large Language Models (LLMS)
Zhikai Chen
Haitao Mao
Hongzhi Wen
Haoyu Han
Wei-dong Jin
Haiyang Zhang
Hui Liu
Jiliang Tang
15
70
0
07 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
GNN
AI4CE
13
19
0
20 Sep 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active
  Learning
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning
Tianmeng Yang
Min Zhou
Yujing Wang
Zhe-Min Lin
Lujia Pan
Bin Cui
Yu Tong
AAML
13
3
0
17 Aug 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on
  Graphs
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li
Zhigang Li
Wenqian Li
Yunfeng Shao
Yan Zheng
Jianye Hao
19
3
0
24 Apr 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information
  Networks
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Xin Gao
Wentao Zhang
Tong Chen
Junliang Yu
Hung Quoc Viet Nguyen
Hongzhi Yin
20
10
0
27 Feb 2023
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
14
79
0
09 Dec 2022
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 Labels
Wentao Zhang
Yexin Wang
Zhenbang You
Meng Cao
Ping-Chia Huang
Jiulong Shan
Zhi-Xin Yang
Bin Cui
AAML
20
19
0
02 Mar 2022
K-Core Decomposition on Super Large Graphs with Limited Resources
K-Core Decomposition on Super Large Graphs with Limited Resources
Shicheng Gao
Jie Xu
Xiaosen Li
Fangcheng Fu
Wentao Zhang
Wenbin Ouyang
Yangyu Tao
Bin Cui
11
2
0
26 Dec 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
14
5
0
13 Dec 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
217
1,726
0
09 Jun 2018
1