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Self-supervised Learning on Graphs: Deep Insights and New Direction

Self-supervised Learning on Graphs: Deep Insights and New Direction

17 June 2020
Wei Jin
Tyler Derr
Haochen Liu
Yiqi Wang
Suhang Wang
Zitao Liu
Jiliang Tang
    SSL
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Papers citing "Self-supervised Learning on Graphs: Deep Insights and New Direction"

50 / 51 papers shown
Title
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
52
1
0
02 Mar 2025
DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining
DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining
Sungyoung Lee
Zihan Wang
Seunggeun Kim
Taekyun Lee
Yao Lai
David Z. Pan
SSL
GNN
78
0
0
13 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang
Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
113
1
0
04 Feb 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
56
0
0
17 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
174
0
0
03 Jan 2025
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation
  in Ultra-Lightweight and One-Shot Graph Classification on Edge
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge
Yuxi Han
Jihe Wang
Danghui Wang
57
1
0
29 May 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
54
3
0
27 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
31
10
0
31 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning
Local Structure-aware Graph Contrastive Representation Learning
Kai Yang
Yuan Liu
Zijuan Zhao
P. Ding
Wen-feng Zhao
33
3
0
07 Aug 2023
CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery
Abhijit Gupta
23
0
0
03 Jul 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Linxuan Song
Wenxuan Tu
Sihang Zhou
Xinwang Liu
En Zhu
30
4
0
14 Mar 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu
Jianhao Guo
Siliang Tang
27
28
0
24 Feb 2023
Augmenting Knowledge Transfer across Graphs
Augmenting Knowledge Transfer across Graphs
Yuzhen Mao
Jianhui Sun
Dawei Zhou
38
1
0
09 Dec 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
Preslav Nakov
Mingzhe Li
Shen Gao
Rui Yan
Xin Gao
Xiangliang Zhang
25
12
0
08 Dec 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
40
20
0
12 Nov 2022
Exploiting map information for self-supervised learning in motion
  forecasting
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo
Thomas Gilles
S. Sabatini
D. Tsishkou
SSL
52
9
0
10 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and
  Generative
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Tianxin Wei
Yuning You
Tianlong Chen
Yang Shen
Jingrui He
Zhangyang Wang
41
45
0
07 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge
  Distillation
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
56
5
0
05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
49
0
02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
58
36
0
30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks
Universal Prompt Tuning for Graph Neural Networks
Taoran Fang
Yunchao Zhang
Yang Yang
Chunping Wang
Lei Chen
36
49
0
30 Sep 2022
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
Disentangled Contrastive Learning for Social Recommendation
Disentangled Contrastive Learning for Social Recommendation
Jiahao Wu
Wenqi Fan
Jingfan Chen
Shengcai Liu
Qing Li
Jiaheng Zhang
32
67
0
18 Aug 2022
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Feixiang Zhou
Xinyu Yang
Fangyuan Chen
Long Chen
Zheheng Jiang
Huixia Zhu
R. Heckel
Haikuan Wang
M. Fei
Huiyu Zhou
21
6
0
07 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
Improving Fairness in Graph Neural Networks via Mitigating Sensitive
  Attribute Leakage
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Yu-Chiang Frank Wang
Yuying Zhao
Yushun Dong
Huiyuan Chen
Jundong Li
Tyler Derr
30
81
0
07 Jun 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
47
549
0
22 May 2022
Exploring Edge Disentanglement for Node Classification
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
Xiang Zhang
Suhang Wang
40
35
0
23 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
Multi-task Joint Strategies of Self-supervised Representation Learning
  on Biomedical Networks for Drug Discovery
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
Xiaoqi Wang
Yingjie Cheng
Yaning Yang
Yue Yu
Fei Li
Shaoliang Peng
23
41
0
12 Jan 2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Qiaoyu Tan
Ninghao Liu
Xiao Shi Huang
Rui Chen
Soo-Hyun Choi
Xia Hu
SSL
30
39
0
07 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Enyan Dai
Wei-dong Jin
Hui Liu
Suhang Wang
NoLa
41
93
0
01 Jan 2022
Self-learn to Explain Siamese Networks Robustly
Self-learn to Explain Siamese Networks Robustly
Chao Chen
Yifan Shen
Guixiang Ma
Xiangnan Kong
S. Rangarajan
Xi Zhang
Sihong Xie
46
5
0
15 Sep 2021
Towards Self-Explainable Graph Neural Network
Towards Self-Explainable Graph Neural Network
Enyan Dai
Suhang Wang
36
84
0
26 Aug 2021
Tree Decomposed Graph Neural Network
Tree Decomposed Graph Neural Network
Yu-Chiang Frank Wang
Tyler Derr
24
68
0
25 Aug 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
Jointly Attacking Graph Neural Network and its Explanations
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan
Wei Jin
Xiaorui Liu
Han Xu
Xianfeng Tang
Suhang Wang
Qing Li
Jiliang Tang
Jianping Wang
Charu C. Aggarwal
AAML
42
28
0
07 Aug 2021
Adaptive Transfer Learning on Graph Neural Networks
Adaptive Transfer Learning on Graph Neural Networks
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
30
59
0
19 Jul 2021
Curvature Graph Neural Network
Curvature Graph Neural Network
Haifeng Li
Jun Cao
Jiawei Zhu
Yu Liu
Qing Zhu
Guohua Wu
21
49
0
30 Jun 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by
  Self-supervised Context Prediction
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan. Z. Li
SSL
14
46
0
21 Jun 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
24
448
0
10 Jun 2021
Automated Self-Supervised Learning for Graphs
Automated Self-Supervised Learning for Graphs
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Jiliang Tang
SSL
29
76
0
10 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
27
108
0
08 Jun 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
28
241
0
16 May 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Tianjin Huang
Yulong Pei
Vlado Menkovski
Mykola Pechenizkiy
30
32
0
16 Apr 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu
Youzhi Luo
Limei Wang
Yaochen Xie
Haonan Yuan
...
Haoran Liu
Cong Fu
Bora Oztekin
Xuan Zhang
Shuiwang Ji
GNN
24
119
0
23 Mar 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
325
0
22 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNN
SSL
22
160
0
09 Feb 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
172
123
0
17 Oct 2020
Deep Adversarial Network Alignment
Deep Adversarial Network Alignment
Tyler Derr
Hamid Karimi
Xiaorui Liu
Jiejun Xu
Jiliang Tang
FedML
GAN
13
48
0
27 Feb 2019
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