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2201.07951
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Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
20 January 2022
Yayong Li
Jie Yin
Ling-Hao Chen
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Papers citing
"Informative Pseudo-Labeling for Graph Neural Networks with Few Labels"
16 / 16 papers shown
Title
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
Shengtao Zhang
Haokai Zhang
Shiqi Lou
Zicheng Wang
Zinan Zeng
Yilin Wang
Minnan Luo
64
0
0
24 Apr 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
48
0
0
22 Mar 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
Mohammad T. Teimuri
Zahra Dehghanian
Gholamali Aminian
Hamid R. Rabiee
47
0
0
02 Feb 2025
Reducing Labeling Costs in Sentiment Analysis via Semi-Supervised Learning
Minoo Jafarlou
Mario M. Kubek
14
0
0
15 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training
Fangxin Wang
Kay Liu
Sourav Medya
Philip S. Yu
SSL
13
1
0
12 Oct 2024
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
Taolin Zhang
Dongyang Li
Qizhou Chen
Chengyu Wang
Longtao Huang
Hui Xue
Xiaofeng He
Junyuan Huang
RALM
KELM
42
0
0
04 May 2024
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
46
8
0
11 Mar 2024
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang
Tianxiang Zhao
Suhang Wang
21
9
0
18 Jan 2024
Data-centric Graph Learning: A Survey
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
21
19
0
08 Oct 2023
NP
2
^2
2
L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks
Xinjie Shen
Danyang Wu
Jitao Lu
Junjie Liang
Jin Xu
Feiping Nie
28
0
0
02 Oct 2023
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
26
19
0
20 Sep 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Zhikai Chen
Haitao Mao
Hang Li
Wei Jin
Haifang Wen
...
Shuaiqiang Wang
Dawei Yin
Wenqi Fan
Hui Liu
Jiliang Tang
AI4CE
33
265
0
07 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Qijie Ding
Jie Yin
Daokun Zhang
Junbin Gao
56
4
0
05 Jul 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua
Vikram Sharma Mailthody
Bhagyashree Taleka
Tengfei Ma
Xiang Song
Wen-mei W. Hwu
AI4CE
21
37
0
27 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
Yuanhai Lv
Lining Xing
Baosheng Yu
Dacheng Tao
43
4
0
19 Feb 2023
Effective Stabilized Self-Training on Few-Labeled Graph Data
Ziang Zhou
Jieming Shi
Shengzhong Zhang
Zengfeng Huang
Qing Li
23
12
0
07 Oct 2019
1