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Exploring Correlations of Self-Supervised Tasks for Graphs
v1v2 (latest)

Exploring Correlations of Self-Supervised Tasks for Graphs

7 May 2024
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
ArXiv (abs)PDFHTML

Papers citing "Exploring Correlations of Self-Supervised Tasks for Graphs"

29 / 29 papers shown
Title
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang
Tianhong Gao
Chunping Wang
Yihao Shang
Wei Chow
Lei Chen
Yang Yang
165
2
0
23 Jan 2025
How to Find Your Friendly Neighborhood: Graph Attention Design with
  Self-Supervision
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim
Alice Oh
SSLGNN
98
260
0
11 Apr 2022
Protein Representation Learning by Geometric Structure Pretraining
Protein Representation Learning by Geometric Structure Pretraining
Zuobai Zhang
Minghao Xu
Arian R. Jamasb
Vijil Chenthamarakshan
A. Lozano
Payel Das
Jian Tang
SSL
57
232
0
11 Mar 2022
CCGL: Contrastive Cascade Graph Learning
CCGL: Contrastive Cascade Graph Learning
Xovee Xu
Fan Zhou
Kunpeng Zhang
Siyuan Liu
SSL
50
41
0
27 Jul 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or
  Predictive
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan.Z.Li
SSL
71
258
0
16 May 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
107
571
0
27 Feb 2021
Towards Robust Graph Contrastive Learning
Towards Robust Graph Contrastive Learning
Nikola Jovanović
Zhao Meng
Lukas Faber
Roger Wattenhofer
SSL
63
33
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
106
335
0
22 Feb 2021
Graph-Based Neural Network Models with Multiple Self-Supervised
  Auxiliary Tasks
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks
Franco Manessi
A. Rozza
SSL
62
40
0
14 Nov 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation
  Learning
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
Yizhu Jiao
Yun Xiong
Jiawei Zhang
Yao Zhang
Tianqi Zhang
Yangyong Zhu
SSL
62
172
0
22 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph
  Representation Learning
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Shu Wu
Liang Wang
SSLGNN
53
28
0
03 Sep 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
102
394
0
22 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
309
2,746
0
02 May 2020
Semi-Implicit Graph Variational Auto-Encoders
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
77
131
0
19 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph
  Representation Learning
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park
Minsik Lee
H. Chang
Kyuewang Lee
J. Choi
SSL
102
237
0
07 Aug 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
110
1,346
0
25 Jul 2019
Pre-Training Graph Neural Networks for Generic Structural Feature
  Extraction
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Ziniu Hu
Changjun Fan
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
61
44
0
31 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
118
1,415
0
29 May 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on
  Graphs with Few Labels
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
Ke Sun
Zhouchen Lin
Zhanxing Zhu
SSL
106
276
0
28 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
783
8,566
0
03 Jan 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,365
0
14 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,695
0
01 Oct 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
337
2,672
0
20 Aug 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
266
3,550
0
06 Jun 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,221
0
23 Apr 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNNGAN
59
446
0
13 Feb 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,592
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
659
29,154
0
09 Sep 2016
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