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Efficient block contrastive learning via parameter-free meta-node
  approximation

Efficient block contrastive learning via parameter-free meta-node approximation

28 September 2022
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
ArXivPDFHTML

Papers citing "Efficient block contrastive learning via parameter-free meta-node approximation"

27 / 27 papers shown
Title
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
68
16
0
17 Oct 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph Clustering
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
70
8
0
27 Apr 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking
CGC: Contrastive Graph Clustering for Community Detection and Tracking
Namyong Park
Ryan Rossi
Eunyee Koh
I. Burhanuddin
Sungchul Kim
F. Du
Nesreen Ahmed
Christos Faloutsos
40
36
0
05 Apr 2022
Contrastive Laplacian Eigenmaps
Contrastive Laplacian Eigenmaps
Hao Zhu
Ke Sun
Piotr Koniusz
49
46
0
14 Jan 2022
FDGATII : Fast Dynamic Graph Attention with Initial Residual and
  Identity Mapping
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping
Gayan K. Kulatilleke
Marius Portmann
Ryan K. L. Ko
Shekhar S. Chandra
50
9
0
21 Oct 2021
Attention-driven Graph Clustering Network
Attention-driven Graph Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
GNN
101
105
0
12 Aug 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural
  Networks
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang
Qitian Wu
Junchi Yan
David Wipf
Philip S. Yu
SSL
43
216
0
23 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph-MLP: Node Classification without Message Passing in Graph
Yang Hu
Haoxuan You
Zhecan Wang
Zhicheng Wang
Erjin Zhou
Yue Gao
89
110
0
08 Jun 2021
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
57
1,091
0
27 Oct 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
82
1,473
0
04 Jul 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
50
558
0
01 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
168
4,051
0
17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
197
1,292
0
10 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
74
391
0
22 May 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
99
1,808
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
115
970
0
11 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
255
18,607
0
13 Feb 2020
Structural Deep Clustering Network
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
57
488
0
05 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
113
12,007
0
13 Nov 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
37
505
0
15 Jun 2019
A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
86
768
0
25 Feb 2019
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
107
2,368
0
27 Sep 2018
An efficient framework for learning sentence representations
An efficient framework for learning sentence representations
Lajanugen Logeswaran
Honglak Lee
66
540
0
07 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
115
9,312
0
09 Feb 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
403
15,066
0
07 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
102
3,559
0
21 Nov 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
68
2,855
0
19 Nov 2015
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