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Graph Self-Supervised Learning: A Survey

Graph Self-Supervised Learning: A Survey

27 February 2021
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Feng Xia
Philip S. Yu
    SSL
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Papers citing "Graph Self-Supervised Learning: A Survey"

44 / 94 papers shown
Title
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
X. Zhang
Qiaoyu Tan
Xiao Shi Huang
Bo-wen Li
41
15
0
14 Sep 2022
Jointly Contrastive Representation Learning on Road Network and
  Trajectory
Jointly Contrastive Representation Learning on Road Network and Trajectory
Zhenyu Mao
Ziyue Li
Dedong Li
Lei Bai
Rui Zhao
AI4TS
39
48
0
14 Sep 2022
Triple Sparsification of Graph Convolutional Networks without
  Sacrificing the Accuracy
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy
Md. Khaledur Rahman
A. Azad
GNN
45
7
0
06 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
30
11
0
04 Aug 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
42
55
0
28 Jun 2022
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A Survey
Madeline Chantry Schiappa
Yogesh S Rawat
M. Shah
SSL
36
131
0
18 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Hanchen Wang
Jean Kaddour
Shengchao Liu
Jian Tang
Joan Lasenby
Qi Liu
30
20
0
16 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
35
37
0
09 Jun 2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language
  Understanding and Generation
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
49
27
0
30 May 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
36
26
0
23 May 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
Graph similarity learning for change-point detection in dynamic networks
Graph similarity learning for change-point detection in dynamic networks
Déborah Sulem
Henry Kenlay
Mihai Cucuringu
Xiaowen Dong
38
14
0
29 Mar 2022
Exploring Edge Disentanglement for Node Classification
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
Xiang Zhang
Suhang Wang
35
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
27
219
0
16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
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
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Yayong Li
Jie Yin
Ling-Hao Chen
27
33
0
20 Jan 2022
Self-Supervised Dynamic Graph Representation Learning via Temporal
  Subgraph Contrast
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
Linpu Jiang
Ke-Jia Chen
Jingqiang Chen
SSL
29
10
0
16 Dec 2021
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
33
24
0
20 Nov 2021
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Hanghang Tong
31
57
0
28 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance
  Classification
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
Yu-Chiang Frank Wang
Siegfried Mercelis
Tyler Derr
21
22
0
22 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
126
302
0
07 Oct 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
37
176
0
17 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
41
27
0
08 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
37
42
0
24 Aug 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly
  Detection
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
K. Phan
Yi-Ping Phoebe Chen
22
122
0
23 Aug 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong-jin Liu
Jie Zhang
Chunyan Miao
SSL
29
76
0
07 Jul 2021
Anomaly Detection in Dynamic Graphs via Transformer
Anomaly Detection in Dynamic Graphs via Transformer
Yixin Liu
Shirui Pan
Yu Guang Wang
Fei Xiong
Liang Wang
Qingfeng Chen
V. C. Lee
34
91
0
18 Jun 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
24
86
0
17 Jun 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
24
447
0
10 Jun 2021
Node Embedding using Mutual Information and Self-Supervision based
  Bi-level Aggregation
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Kashob Kumar Roy
Amit Roy
A. Rahman
M. A. Amin
A. Ali
SSL
24
10
0
27 Apr 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 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
36
324
0
22 Feb 2021
Structured Graph Learning for Scalable Subspace Clustering: From
  Single-view to Multi-view
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Zhao Kang
Zhiping Lin
Xiaofeng Zhu
Wenbo Xu
76
228
0
16 Feb 2021
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
Chanyoung Park
Hanghang Tong
98
164
0
15 Feb 2021
Isometric Propagation Network for Generalized Zero-shot Learning
Isometric Propagation Network for Generalized Zero-shot Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Xuanyi Dong
Chengqi Zhang
27
36
0
03 Feb 2021
Label Contrastive Coding based Graph Neural Network for Graph
  Classification
Label Contrastive Coding based Graph Neural Network for Graph Classification
Yuxiang Ren
Jiyang Bai
Jiawei Zhang
34
26
0
14 Jan 2021
A Survey of Community Detection Approaches: From Statistical Modeling to
  Deep Learning
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Jia Wu
Philip S. Yu
Weixiong Zhang
GNN
118
275
0
03 Jan 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous
  Information Networks
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
Xiang Li
Danhao Ding
B. Kao
Yizhou Sun
N. Mamoulis
37
46
0
18 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
116
0
16 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao
Xixun Lin
Shu Guo
Luchen Liu
Tingwen Liu
Bin Wang
80
110
0
10 Dec 2020
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
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
184
1,941
0
02 Feb 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
284
31,267
0
16 Jan 2013
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