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Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

15 September 2020
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
    SSL
ArXivPDFHTML

Papers citing "Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning"

43 / 43 papers shown
Title
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He
Y. Wang
Wenqi Fan
Xu Shen
Xin Juan
Rui Miao
Xin Wang
68
0
0
26 Jan 2025
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
Kaizhe Fan
Quanjun Li
32
0
0
12 Sep 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
27
1
0
02 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers?
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang
Guanglei Yang
Lifeng Qiao
Zitong Huang
Hongliang Yan
Yunchao Wei
W. Zuo
36
0
0
20 Jun 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
47
12
0
20 May 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Wei Ju
Zhengyan Mao
Siyu Yi
Yifang Qin
Yiyang Gu
Zhiping Xiao
Yifan Wang
Xiao Luo
Ming Zhang
31
7
0
08 May 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph
  Pre-training Tasks
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan
Lirong Wu
Yufei Huang
Haitao Lin
Cheng Tan
Zhangyang Gao
Stan Z. Li
27
3
0
03 Mar 2024
Understanding and Guiding Weakly Supervised Entity Alignment with
  Potential Isomorphism Propagation
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
Yuanyi Wang
Wei Tang
Haifeng Sun
Zirui Zhuang
Xiaoyuan Fu
Jingyu Wang
Qi Qi
Jianxin Liao
16
1
0
05 Feb 2024
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
26
19
0
20 Sep 2023
Entropy Neural Estimation for Graph Contrastive Learning
Entropy Neural Estimation for Graph Contrastive Learning
Yixuan Ma
Xiaolin Zhang
Peng Zhang
Kun Zhan
SSL
14
15
0
26 Jul 2023
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A
  Relational Anonymous Walk-guided Neural Process Approach
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Zicheng Zhao
Linhao Luo
Shirui Pan
Quoc Viet Hung Nguyen
Chenggui Gong
22
6
0
26 Jun 2023
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Feng Xie
Xiangji Zeng
Bin Zhou
Yusong Tan
13
10
0
28 Apr 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Yumeng Song
Yu Gu
Tianyi Li
Jianzhong Qi
Zhenghao Liu
Christian S. Jensen
Ge Yu
SSL
26
15
0
10 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
43
4
0
19 Feb 2023
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
19
5
0
17 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs
Coarse-to-Fine Contrastive Learning on Graphs
Peiyao Zhao
Yuangang Pan
Xin Li
Xu Chen
Ivor W. Tsang
L. Liao
SSL
34
4
0
13 Dec 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge
  Distillation
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
32
5
0
05 Oct 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
X. Zhang
Qiaoyu Tan
Xiao Shi Huang
Bo-wen Li
28
15
0
14 Sep 2022
Supervised Contrastive Learning with Hard Negative Samples
Supervised Contrastive Learning with Hard Negative Samples
Ruijie Jiang
Thuan Q. Nguyen
Prakash Ishwar
Shuchin Aeron
13
16
0
31 Aug 2022
Semi-Supervised Hierarchical Graph Classification
Semi-Supervised Hierarchical Graph Classification
Jia Li
Yongfeng Huang
Heng Chang
Yu Rong
16
25
0
11 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely
  Efficient Approach with Group Discrimination
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Yizhen Zheng
Shirui Pan
Vincent C. S. Lee
Yu Zheng
Philip S. Yu
14
95
0
03 Jun 2022
Hyperspectral Image Classification With Contrastive Graph Convolutional
  Network
Hyperspectral Image Classification With Contrastive Graph Convolutional Network
Wentao Yu
Sheng Wan
Guangyu Li
Jian Yang
Chen Gong
24
24
0
11 May 2022
Simple Contrastive Graph Clustering
Simple Contrastive Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
36
109
0
11 May 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural
  Networks
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal
Antonios Valkanas
Florence Regol
Mark J. Coates
SSL
27
16
0
22 Feb 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
11
0
0
30 Jan 2022
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Jiahong Liu
Menglin Yang
Min Zhou
Shanshan Feng
Philippe Fournier-Viger
SSL
17
22
0
21 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning
  Approach
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Hang Gao
Jiangmeng Li
Wenwen Qiang
Lingyu Si
Fuchun Sun
Changwen Zheng
6
11
0
11 Jan 2022
A Self-supervised Mixed-curvature Graph Neural Network
A Self-supervised Mixed-curvature Graph Neural Network
Li Sun
Zhongbao Zhang
Junda Ye
Hao Peng
Jiawei Zhang
Sen Su
Philip S. Yu
SSL
20
33
0
10 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning
Multi-task Self-distillation for Graph-based Semi-Supervised Learning
Yating Ren
Junzhong Ji
Lingfeng Niu
Minglong Lei
SSL
13
7
0
02 Dec 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
23
24
0
20 Nov 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs
Langzhang Liang
Cuiyun Gao
Shiyi Chen
Shishi Duan
Y. Pan
Junjin Zheng
Lei Wang
Zenglin Xu
17
0
0
18 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
54
29
0
15 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks
Adaptive Multi-layer Contrastive Graph Neural Networks
S. Shi
Pengfei Xie
Xu Luo
Kai Qiao
Linyuan Wang
Jian Chen
B. Yan
OOD
19
5
0
29 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
19
42
0
24 Aug 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly
  Detection
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
K. Phan
Yi-Ping Phoebe Chen
22
122
0
23 Aug 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or
  Predictive
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan.Z.Li
SSL
19
241
0
16 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph
  Representation Learning
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Ming Jin
Yizhen Zheng
Yuan-Fang Li
Chen Gong
Chuan Zhou
Shirui Pan
SSL
14
153
0
12 May 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Feng Xia
Philip S. Yu
SSL
19
539
0
27 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Graph-based Semi-supervised Learning: A Comprehensive Review
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
79
190
0
26 Feb 2021
Rethinking the Promotion Brought by Contrastive Learning to
  Semi-Supervised Node Classification
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
Deli Chen
Yankai Lin
Lei Li
Xuancheng Ren
Peng Li
Jie Zhou
Xu Sun
24
5
0
14 Dec 2020
They are Not Completely Useless: Towards Recycling Transferable
  Unlabeled Data for Class-Mismatched Semi-Supervised Learning
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
Zhuo Huang
Ying Tai
Chengjie Wang
Jian Yang
Chen Gong
15
23
0
27 Nov 2020
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
56
90
0
23 Oct 2020
Few-shot Object Detection with Self-adaptive Attention Network for
  Remote Sensing Images
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
Zixuan Xiao
Wei Xue
P. Zhong
17
32
0
26 Sep 2020
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