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Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph
  Representation Learning

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

12 May 2021
Ming Jin
Yizhen Zheng
Yuan-Fang Li
Chen Gong
Chuan Zhou
Shirui Pan
    SSL
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Papers citing "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning"

14 / 14 papers shown
Title
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
SSL
BDL
44
0
0
02 Feb 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit
PyG-SSL: A Graph Self-Supervised Learning Toolkit
Lecheng Zheng
Baoyu Jing
Zihao Li
Zhichen Zeng
Tianxin Wei
...
Lihui Liu
Dongqi Fu
Jiaxuan You
Hanghang Tong
Jingrui He
48
5
0
31 Dec 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
95
19
0
15 May 2024
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
Yueqi Ma
Minjie Chen
Xiang Li
SSL
15
1
0
15 Oct 2023
Multi-View Graph Representation Learning Beyond Homophily
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
10
6
0
15 Apr 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
16
8
0
20 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node
  Classification
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
24
26
0
11 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
22
87
0
02 Dec 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
20
16
0
17 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open
  Set Recognition
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition
Jingyun Jia
P. Chan
BDL
8
2
0
28 Sep 2022
Projective Ranking-based GNN Evasion Attacks
Projective Ranking-based GNN Evasion Attacks
He Zhang
Xingliang Yuan
Chuan Zhou
Shirui Pan
AAML
34
23
0
25 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun-Xiong Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
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
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun-Xiong Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
25
120
0
05 Oct 2021
1