ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.10803
  4. Cited By
GraphMAE: Self-Supervised Masked Graph Autoencoders
v1v2v3 (latest)

GraphMAE: Self-Supervised Masked Graph Autoencoders

22 May 2022
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
    SSL
ArXiv (abs)PDFHTML

Papers citing "GraphMAE: Self-Supervised Masked Graph Autoencoders"

50 / 69 papers shown
Title
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Ruobing Jiang
Yacong Li
Haobing Liu
Yanwei Yu
131
0
0
18 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffMGNN
237
0
0
16 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning
DP-GPL: Differentially Private Graph Prompt Learning
Jing Xu
Franziska Boenisch
Iyiola Emmanuel Olatunji
Adam Dziedzic
AAML
109
0
0
13 Mar 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen
Zhiming Li
Hua Mao
Wai Lok Woo
Xi Peng
144
0
0
20 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Changhao Nai
Sihang Li
Yaorui Shi
Xiang Wang
Kenji Kawaguchi
Tat-Seng Chua
181
4
0
18 Feb 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An
Chao Qu
Yun-Fei Shi
XinHao Liu
Qianwei Tang
Fenglei Cao
Yuan Qi
98
0
0
12 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
SSLBDL
139
0
0
02 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
156
3
0
28 Jan 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
222
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
423
0
0
03 Jan 2025
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
J. Liu
Haitao Mao
Zhikai Chen
Wenqi Fan
Mingxuan Ju
Tong Zhao
Neil Shah
Neil Shah
Jiliang Tang
AI4CE
244
4
0
30 Nov 2024
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
Xi Fang
Jiankun Wang
X. Cai
Shangqian Chen
Shuwen Yang
Lin Yao
Linfeng Zhang
Guolin Ke
Linfeng Zhang
Guolin Ke
142
2
0
17 Nov 2024
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Wei Qiao
Yebo Feng
Teng Li
Zijian Zhang
Zhengzi Xu
Zhuo Ma
Yulong Shen
117
0
0
23 Oct 2024
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
144
1
0
17 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
Yun Zhu
Haizhou Shi
Xiaotang Wang
Yongchao Liu
Yaoke Wang
Boci Peng
Chuntao Hong
Siliang Tang
VLM
170
15
0
14 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
105
7
0
14 Oct 2024
Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning
Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning
Tianhao Wu
Jinzhou Li
Jiyao Zhang
Mingdong Wu
Hao Dong
SSL
102
8
0
26 Sep 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
Jungwon Choi
Hyungi Lee
Byung-Hoon Kim
Juho Lee
122
1
0
11 Mar 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
AI4TSGNN
125
5
0
27 Sep 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae
Gang Liu
Meng Jiang
AI4CE
112
14
0
08 Sep 2023
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNNAI4CE
81
56
0
18 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
485
7,837
0
11 Nov 2021
InfoGCL: Information-Aware Graph Contrastive Learning
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu
Wei Cheng
Dongsheng Luo
Haifeng Chen
Xiang Zhang
63
200
0
28 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via
  Distillation
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang
Yozen Liu
Yizhou Sun
Neil Shah
91
185
0
17 Oct 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural
  Networks
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang
Qitian Wu
Junchi Yan
David Wipf
Philip S. Yu
SSL
79
222
0
23 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
297
2,845
0
15 Jun 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
81
479
0
10 Jun 2021
Self-supervised Graph-level Representation Learning with Local and
  Global Structure
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu
Hang Wang
Bingbing Ni
Hongyu Guo
Jian Tang
SSL
58
212
0
08 Jun 2021
Self-supervised Graph Neural Networks without explicit negative sampling
Self-supervised Graph Neural Networks without explicit negative sampling
Zekarias T. Kefato
Sarunas Girdzijauskas
SSL
102
44
0
27 Mar 2021
Large-Scale Representation Learning on Graphs via Bootstrapping
Large-Scale Representation Learning on Graphs via Bootstrapping
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
SSL
76
228
0
12 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
65
40
0
14 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
93
1,114
0
27 Oct 2020
Contrastive Self-supervised Learning for Graph Classification
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng
P. Xie
SSL
110
155
0
13 Sep 2020
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
149
221
0
03 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSLAI4CE
163
565
0
27 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin
Hanyu Wang
Haochen Liu
Yiqi Wang
Suhang Wang
Zitao Liu
Jiliang Tang
SSL
68
178
0
17 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
242
960
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
168
1,635
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
423
6,849
0
13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
242
1,305
0
10 Jun 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
80
820
0
07 Jun 2020
Self-supervised Training of Graph Convolutional Networks
Self-supervised Training of Graph Convolutional Networks
Qikui Zhu
Bo Du
Pingkun Yan
SSLGNN
60
45
0
03 Jun 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
311
2,752
0
02 May 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
216
12,136
0
13 Nov 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
121
237
0
07 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
173
865
0
31 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
236
8,455
0
19 Jun 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
126
1,416
0
29 May 2019
Graph Attention Auto-Encoders
Graph Attention Auto-Encoders
Amin Salehi
H. Davulcu
GNN
69
120
0
26 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
12
Next