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Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on
  Graphs with Few Labels

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels

28 February 2019
Ke Sun
Zhouchen Lin
Zhanxing Zhu
    SSL
ArXivPDFHTML

Papers citing "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"

50 / 112 papers shown
Title
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
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
66
0
0
24 Apr 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
51
0
0
22 Mar 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Zhixun Li
Dingshuo Chen
Tong Zhao
Ziyu Zhao
Hongrui Liu
Qing Cui
Jun Zhou
Jeffrey Xu Yu
SSL
105
0
0
10 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
Mohammad T. Teimuri
Zahra Dehghanian
Gholamali Aminian
Hamid R. Rabiee
55
0
0
02 Feb 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
51
0
0
17 Jan 2025
Variational Graph Contrastive Learning
Variational Graph Contrastive Learning
Shifeng Xie
Jhony H. Giraldo
42
0
0
11 Nov 2024
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network
Jincheng Huang
Yujie Mo
Xiaoshuang Shi
Lei Feng
Xiaofeng Zhu
39
0
0
04 Nov 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training
BANGS: Game-Theoretic Node Selection for Graph Self-Training
Fangxin Wang
Kay Liu
Sourav Medya
Philip S. Yu
SSL
31
1
0
12 Oct 2024
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for
  Heterogeneous Graphs
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs
Siqing Li
Jin-Duk Park
Wei Huang
Xin Cao
Won-Yong Shin
Zhiqiang Xu
32
0
0
10 Sep 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph
  Self-training
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
Fali Wang
Tianxiang Zhao
Junjie Xu
Suhang Wang
32
1
0
25 Jul 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with
  Adaptive Neighbor Generation
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
Luying Zhong
Yueyang Pi
Zheyi Chen
Zhengxin Yu
Wang Miao
Xing Chen
Geyong Min
FedML
30
1
0
14 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
Shuaike Xu
Xiaolin Zhang
Peng Zhang
Kun Zhan
40
1
0
02 Jul 2024
Cross-Modality Program Representation Learning for Electronic Design
  Automation with High-Level Synthesis
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
Zongyue Qin
Yunsheng Bai
Atefeh Sohrabizadeh
Zijian Ding
Ziniu Hu
Yizhou Sun
Jason Cong
28
2
0
13 Jun 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
35
7
0
07 May 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with
  Scarce Labeled Data
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
Zhenzhong Wang
Qingyuan Zeng
Wanyu Lin
Min Jiang
Kay Chen Tan
SSL
34
2
0
19 Apr 2024
Open-World Semi-Supervised Learning for Node Classification
Open-World Semi-Supervised Learning for Node Classification
Yanling Wang
Jing Zhang
Lingxi Zhang
Lixin Liu
Yuxiao Dong
Cuiping Li
Hong Chen
Hongzhi Yin
BDL
40
0
0
18 Mar 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
48
8
0
11 Mar 2024
All in One and One for All: A Simple yet Effective Method towards
  Cross-domain Graph Pretraining
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao
Aochuan Chen
Xiangguo Sun
Hong Cheng
Jia Li
42
35
0
15 Feb 2024
Distribution Consistency based Self-Training for Graph Neural Networks
  with Sparse Labels
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang
Tianxiang Zhao
Suhang Wang
21
9
0
18 Jan 2024
Community-Aware Efficient Graph Contrastive Learning via Personalized
  Self-Training
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training
Yuecheng Li
Yanming Hu
Lele Fu
Chuan Chen
Lei Yang
Zibin Zheng
26
3
0
18 Nov 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
Shuai Zheng
Zhizhe Liu
Zhenfeng Zhu
Xingxing Zhang
Jianxin Li
Yao-Min Zhao
35
0
0
26 Oct 2023
GSLB: The Graph Structure Learning Benchmark
GSLB: The Graph Structure Learning Benchmark
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
...
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
42
34
0
08 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A Survey
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
27
19
0
08 Oct 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data
Deep Insights into Noisy Pseudo Labeling on Graph Data
Botao Wang
Jia Li
Yang Liu
Jiashun Cheng
Yu Rong
Wenjia Wang
Fugee Tsung
NoLa
27
8
0
02 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
28
19
0
20 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method
  for Few-shot Node Tasks
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
OffRL
24
5
0
19 Sep 2023
Learning on Graphs with Out-of-Distribution Nodes
Learning on Graphs with Out-of-Distribution Nodes
Yunho Song
Donglin Wang
OODD
19
38
0
13 Aug 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Chao Li
Zijie Guo
Qiuting He
Hao Xu
Kun He
29
2
0
17 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
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
Learning Strong Graph Neural Networks with Weak Information
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu
Kaize Ding
Jianling Wang
V. Lee
Huan Liu
Shirui Pan
20
41
0
29 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Yunsheng Bai
Atefeh Sohrabizadeh
Zongyue Qin
Ziniu Hu
Yizhou Sun
Jason Cong
18
1
0
18 May 2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Chenguang Du
Kaichun Yao
Hengshu Zhu
Deqing Wang
Fuzhen Zhuang
Hui Xiong
33
6
0
18 May 2023
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous
  Information Networks
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks
Chao Li
Hao Xu
Kun He
26
3
0
23 Apr 2023
When to Pre-Train Graph Neural Networks? From Data Generation
  Perspective!
When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Yu Cao
Jiarong Xu
Carl Yang
Jiaan Wang
Yunchao Zhang
Chunping Wang
L. Chen
Yang Yang
18
16
0
29 Mar 2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced
  Node Classification
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
Liang Yan
Shengzhong Zhang
Bisheng Li
Min Zhou
Zengfeng Huang
30
4
0
18 Mar 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
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
53
4
0
19 Feb 2023
Distributed Traffic Synthesis and Classification in Edge Networks: A
  Federated Self-supervised Learning Approach
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Yong Xiao
Rong Xia
Yingyu Li
Guangming Shi
Diep N. Nguyen
D. Hoang
Dusit Niyato
Marwan Krunz
23
12
0
01 Feb 2023
Determinate Node Selection for Semi-supervised Classification Oriented
  Graph Convolutional Networks
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks
Yao Xiao
Ji Xu
Jing Yang
Shaobo Li
GNN
6
0
0
11 Jan 2023
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
24
8
0
20 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic
  Survey
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei
Yu Zhao
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Fuji Ren
Gang Kou
AI4CE
24
5
0
17 Dec 2022
Multi-view Graph Convolutional Networks with Differentiable Node
  Selection
Multi-view Graph Convolutional Networks with Differentiable Node Selection
Zhaoliang Chen
Lele Fu
Shunxin Xiao
Shiping Wang
Claudia Plant
Wenzhong Guo
26
11
0
09 Dec 2022
Self-supervised Graph Representation Learning for Black Market Account
  Detection
Self-supervised Graph Representation Learning for Black Market Account Detection
Zequan Xu
Lianyun Li
Hui Li
Qihang Sun
Shaofeng Hu
Rongrong Ji
9
1
0
06 Dec 2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view
  Learning
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen
Lele Fu
J. Yao
Wenzhong Guo
Claudia Plant
Shiping Wang
30
117
0
16 Nov 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural
  Clustering
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang
Ziyu Guan
Zhe Wang
Wei Zhao
Cai Xu
Weigang Lu
Jianbin Huang
SSL
18
39
0
19 Oct 2022
Improving Molecular Pretraining with Complementary Featurizations
Improving Molecular Pretraining with Complementary Featurizations
Yanqiao Zhu
Dingshuo Chen
Yuanqi Du
Yingze Wang
Qiang Liu
Shu Wu
AI4CE
36
6
0
29 Sep 2022
Structure-Preserving Graph Representation Learning
Structure-Preserving Graph Representation Learning
Ruiyi Fang
Liangjiang Wen
Zhao Kang
Jianzhuang Liu
23
22
0
02 Sep 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data
  Scarcity
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity
Kaize Ding
E. Nouri
Guoqing Zheng
Huan Liu
Ryen W. White
21
9
0
26 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical
  Molecules
Motif-based Graph Representation Learning with Application to Chemical Molecules
Yifei Wang
Shiyang Chen
Guobin Chen
Ethan Shurberg
Hang Liu
Pengyu Hong
GNN
33
13
0
09 Aug 2022
Simple and Efficient Heterogeneous Graph Neural Network
Simple and Efficient Heterogeneous Graph Neural Network
Xiaocheng Yang
Yurui Lai
Shirui Pan
Xiaochun Ye
Xiaochun Ye
56
123
0
06 Jul 2022
A Safe Semi-supervised Graph Convolution Network
A Safe Semi-supervised Graph Convolution Network
Zhi Yang
Yadong Yan
Haitao Gan
Jing Zhao
Zhiwei Ye
GNN
21
3
0
05 Jul 2022
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