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Large-Scale Representation Learning on Graphs via Bootstrapping

Large-Scale Representation Learning on Graphs via Bootstrapping

12 February 2021
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
    SSL
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Papers citing "Large-Scale Representation Learning on Graphs via Bootstrapping"

32 / 132 papers shown
Title
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju
Tong Zhao
Qianlong Wen
Wenhao Yu
Neil Shah
Yanfang Ye
Chuxu Zhang
SSL
13
34
0
05 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning
Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang
Qi Li
Donghua Yu
Xiaolong Han
Xiaohong Gao
Shigen Shen
44
28
0
01 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph
  Representation Learning
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang
Chao Huang
Yijun Tian
Qianlong Wen
Z. Ouyang
Youhuan Li
Yanfang Ye
Chuxu Zhang
19
6
0
01 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
16
13
0
28 Sep 2022
Heterogeneous Graph Masked Autoencoders
Heterogeneous Graph Masked Autoencoders
Yijun Tian
Kaiwen Dong
Chunhui Zhang
Chuxu Zhang
Nitesh V. Chawla
22
74
0
21 Aug 2022
Relational Self-Supervised Learning on Graphs
Relational Self-Supervised Learning on Graphs
Namkyeong Lee
Dongmin Hyun
Junseok Lee
Chanyoung Park
SSL
11
22
0
21 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi
Ekdeep Singh Lubana
Mark Heimann
Danai Koutra
Jayaraman J. Thiagarajan
28
11
0
04 Aug 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
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised
  Learning
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
Jiashun Cheng
Man Li
Jia Li
Fugee Tsung
SSL
31
14
0
26 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
22
68
0
16 Jun 2022
Learning Behavior Representations Through Multi-Timescale Bootstrapping
Learning Behavior Representations Through Multi-Timescale Bootstrapping
Mehdi Azabou
Michael J. Mendelson
Maks Sorokin
S. Thakoor
Nauman Ahad
Carolina Urzay
Eva L. Dyer
AI4CE
29
6
0
14 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee
Kijung Shin
30
36
0
09 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Teng Xiao
Zhengyu Chen
Zhimeng Guo
Zeyang Zhuang
Suhang Wang
BDL
SSL
23
18
0
07 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
39
26
0
06 Jun 2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node
  Classification
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Liang Zeng
Lanqing Li
Zi-Chao Gao
P. Zhao
Jian Li
25
22
0
23 May 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
545
0
22 May 2022
Simple Contrastive Graph Clustering
Simple Contrastive Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
41
110
0
11 May 2022
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive
  Neighborhood Aggregation
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation
Yuansheng Wang
Wangbin Sun
Kun Xu
Zulun Zhu
Liang Chen
Zibin Zheng
19
4
0
02 May 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via
  Non-Parametric Distribution Assignment
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee
Yunhak Oh
Yeonjun In
Namkyeong Lee
Dongmin Hyun
Chanyoung Park
16
12
0
04 Apr 2022
GATE: Graph CCA for Temporal SElf-supervised Learning for
  Label-efficient fMRI Analysis
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis
Liang Peng
Nan Wang
Jie Xu
Xiao-lan Zhu
Xiaoxiao Li
37
33
0
17 Mar 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng-Long Jiang
OOD
30
79
0
17 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
19
218
0
16 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning
Graph Self-supervised Learning with Accurate Discrepancy Learning
Dongki Kim
Jinheon Baek
Sung Ju Hwang
SSL
8
36
0
07 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
22
0
0
30 Jan 2022
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis
Laura Hansel
Timo Lüddecke
Alexander S. Ecker
MedIm
23
7
0
23 Dec 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
18
3
0
29 Oct 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
542
0
27 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
19
324
0
22 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric P. Xing
SSL
57
33
0
23 Oct 2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
226
503
0
20 Oct 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
233
31,253
0
16 Jan 2013
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