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Exploring Correlations of Self-Supervised Tasks for Graphs
7 May 2024
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
Re-assign community
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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
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
Dongkwan Kim
Alice Oh
SSL
GNN
98
260
0
11 Apr 2022
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
Xovee Xu
Fan Zhou
Kunpeng Zhang
Siyuan Liu
SSL
50
41
0
27 Jul 2021
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
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
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
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
Franco Manessi
A. Rozza
SSL
62
40
0
14 Nov 2020
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
Yanqiao Zhu
Yichen Xu
Feng Yu
Shu Wu
Liang Wang
SSL
GNN
53
28
0
03 Sep 2020
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
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
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDL
GNN
77
131
0
19 Aug 2019
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
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
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
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
118
1,415
0
29 May 2019
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
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
783
8,566
0
03 Jan 2019
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?
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
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
337
2,672
0
20 Aug 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
266
3,550
0
06 Jun 2018
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
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNN
GAN
59
446
0
13 Feb 2018
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
151
3,592
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
659
29,154
0
09 Sep 2016
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