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Contrastive Self-supervised Learning for Graph Classification

Contrastive Self-supervised Learning for Graph Classification

13 September 2020
Jiaqi Zeng
P. Xie
    SSL
ArXivPDFHTML

Papers citing "Contrastive Self-supervised Learning for Graph Classification"

25 / 25 papers shown
Title
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
36
2
0
28 Jan 2025
Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales
Zijie Cheng
B. Li
André Altmann
P. Keane
Yukun Zhou
MedIm
29
0
0
05 Jan 2025
Towards Deviation-Robust Agent Navigation via Perturbation-Aware
  Contrastive Learning
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
Bingqian Lin
Yanxin Long
Yi Zhu
Fengda Zhu
Xiaodan Liang
QiXiang Ye
Liang Lin
31
5
0
09 Mar 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
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
  Networks
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
31
14
0
02 Nov 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic
  Graphs
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
34
10
0
18 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks
  via Reinforcement Learning
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Andrew Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
21
3
0
04 May 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and
  Adaptively Weighted Negative Samples
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu
Qingqing Ge
Xiang Li
Aoying Zhou
27
7
0
28 Dec 2022
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
Contrastive Knowledge Graph Error Detection
Contrastive Knowledge Graph Error Detection
Qinggang Zhang
Junnan Dong
Keyu Duan
Xiao Huang
Yezi Liu
Linchuan Xu
33
34
0
18 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang-Shu Liu
Yuwen Yang
Zhe Xie
Hongtao Lu
Yue Ding
33
4
0
01 Nov 2022
Line Graph Contrastive Learning for Link Prediction
Line Graph Contrastive Learning for Link Prediction
Zehua Zhang
Shilin Sun
Guixiang Ma
Caiming Zhong
17
27
0
25 Oct 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
23
13
0
28 Sep 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
X. Zhang
Qiaoyu Tan
Xiao Shi Huang
Bo-wen Li
38
15
0
14 Sep 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning
Features Based Adaptive Augmentation for Graph Contrastive Learning
Adnan Ali
Jinlong Li
OOD
24
7
0
05 Jul 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
GraphMAE: Self-Supervised Masked Graph Autoencoders
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
SSL
45
546
0
22 May 2022
Exploring Edge Disentanglement for Node Classification
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
Xiang Zhang
Suhang Wang
32
35
0
23 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
21
218
0
16 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
24
0
0
30 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss
  Back-propagation
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
Hongxu Chen
Xiangguo Sun
Yicong Li
Guandong Xu
AAML
SSL
25
42
0
20 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning
  on Biomedical Networks for Drug Discovery
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
Xiaoqi Wang
Yingjie Cheng
Yaning Yang
Yue Yu
Fei Li
Shaoliang Peng
23
41
0
12 Jan 2022
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
31
42
0
24 Aug 2021
Prototypical Graph Contrastive Learning
Prototypical Graph Contrastive Learning
Shuai Lin
Pan Zhou
Zi-Yuan Hu
Shuojia Wang
Ruihui Zhao
Yefeng Zheng
Liang Lin
Eric P. Xing
Xiaodan Liang
21
86
0
17 Jun 2021
Pathological Visual Question Answering
Pathological Visual Question Answering
Xuehai He
Zhuo Cai
Wenlan Wei
Yichen Zhang
Luntian Mou
Eric P. Xing
P. Xie
67
24
0
06 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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