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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

3 June 2022
Yizhen Zheng
Shirui Pan
Vincent C. S. Lee
Yu Zheng
Philip S. Yu
ArXivPDFHTML

Papers citing "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination"

15 / 15 papers shown
Title
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou
He Zhu
Ruomei Liu
Yingke Su
Jinxiang Xia
Junran Wu
Ke Xu
OODD
109
0
0
13 Mar 2025
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Jiapu Wang
Kai Sun
Linhao Luo
Wei Wei
Yongli Hu
Alan Wee-Chung Liew
Shirui Pan
Baocai Yin
52
5
0
31 Dec 2024
Predicting Genetic Mutation from Whole Slide Images via
  Biomedical-Linguistic Knowledge Enhanced Multi-label Classification
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification
Gexin Huang
Chenfei Wu
Mingjie Li
Xiaojun Chang
Ling-Hao Chen
Ying Sun
Shen Zhao
Xiaodan Liang
Liang Lin
MedIm
37
0
0
05 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
39
7
0
22 May 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
42
0
0
19 Apr 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif
  Discovery
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
Pengwei Yan
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Tianqianjin Lin
Changlong Sun
Xiaozhong Liu
AI4CE
28
2
0
19 Dec 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
44
11
0
28 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly
  Detection
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Junjun Pan
Yixin Liu
Yizhen Zheng
Shirui Pan
37
18
0
18 Oct 2023
Local Structure-aware Graph Contrastive Representation Learning
Local Structure-aware Graph Contrastive Representation Learning
Kai Yang
Yuan Liu
Zijuan Zhao
P. Ding
Wen-feng Zhao
33
3
0
07 Aug 2023
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and
  Sparse Graphs
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Linhao Luo
Reza Haffari
Shirui Pan
AI4TS
28
30
0
15 Nov 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Yizhen Zheng
Yu Zheng
Xiaofei Zhou
Chen Gong
V. Lee
Shirui Pan
38
16
0
17 Oct 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
156
459
0
01 May 2021
1