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GraphMAE: Self-Supervised Masked Graph Autoencoders

GraphMAE: Self-Supervised Masked Graph Autoencoders

22 May 2022
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
    SSL
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Papers citing "GraphMAE: Self-Supervised Masked Graph Autoencoders"

50 / 255 papers shown
Title
Multimodal Molecular Pretraining via Modality Blending
Multimodal Molecular Pretraining via Modality Blending
Qiying Yu
Yudi Zhang
Yuyan Ni
Shi Feng
Yanyan Lan
Hao Zhou
Jingjing Liu
21
12
0
12 Jul 2023
Learning to Group Auxiliary Datasets for Molecule
Learning to Group Auxiliary Datasets for Molecule
Ting Huang
Ziniu Hu
Rex Ying
11
0
0
08 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuan-Qi Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
28
6
0
06 Jul 2023
All in One: Multi-task Prompting for Graph Neural Networks
All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun
Hongtao Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
AI4CE
25
127
0
04 Jul 2023
Directional diffusion models for graph representation learning
Directional diffusion models for graph representation learning
Run Yang
Yuling Yang
Fan Zhou
Qiang Sun
DiffM
20
12
0
22 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image Matching
Graph Self-Supervised Learning for Endoscopic Image Matching
Manel Farhat
A. Ben-Hamadou
SSL
21
1
0
19 Jun 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity
  Quantification
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Le-le Cao
Vilhelm von Ehrenheim
Mark Granroth-Wilding
Richard Anselmo Stahl
Andrew McCornack
Armin Catovic
Dhiana Deva Cavalcanti Rocha
24
3
0
18 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
22
24
0
16 Jun 2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal
  Graphs
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Haozhen Zhang
Xueting Han
Xi Xiao
Jing Bai
16
8
0
13 Jun 2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property
  Prediction
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Haomin Yu
Yanru Song
Jilin Hu
Chenjuan Guo
B. Yang
AI4CE
19
4
0
08 Jun 2023
Masked Autoencoders with Multi-Window Local-Global Attention Are Better
  Audio Learners
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
Sarthak Yadav
Sergios Theodoridis
Lars Kai Hansen
Z. Tan
15
7
0
01 Jun 2023
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Lei Li
Kai Fan
Ling Yang
Hongjian Li
Chun Yuan
27
4
0
28 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular
  Representation Learning
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Bing-Huang Su
Jirong Wen
16
0
0
22 May 2023
Graph Masked Autoencoder for Sequential Recommendation
Graph Masked Autoencoder for Sequential Recommendation
Yaowen Ye
Lianghao Xia
Chao Huang
21
38
0
08 May 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Erlin Pan
Zhao Kang
29
35
0
03 May 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Zhenyu Hou
Yufei He
Yukuo Cen
Xiao Liu
Yuxiao Dong
Evgeny Kharlamov
Jie Tang
SSL
13
102
0
10 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit
  Diversity Modeling
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zhangyang Wang
16
27
0
06 Apr 2023
RARE: Robust Masked Graph Autoencoder
RARE: Robust Masked Graph Autoencoder
Wenxuan Tu
Qing Liao
Sihang Zhou
Xin Peng
Chuan Ma
Zhe Liu
Xinwang Liu
Zhiping Cai
29
12
0
04 Apr 2023
When to Pre-Train Graph Neural Networks? From Data Generation
  Perspective!
When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Yu Cao
Jiarong Xu
Carl Yang
Jiaan Wang
Yunchao Zhang
Chunping Wang
L. Chen
Yang Yang
16
15
0
29 Mar 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph
  Learning
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
Chao Chen
Haoyu Geng
Nianzu Yang
Xiaokang Yang
Junchi Yan
11
8
0
22 Mar 2023
Feature propagation as self-supervision signals on graphs
Feature propagation as self-supervision signals on graphs
Oscar Pina
Verónica Vilaplana
SSL
10
1
0
15 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
12
28
0
24 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
27
5
0
13 Feb 2023
Spectral Augmentations for Graph Contrastive Learning
Spectral Augmentations for Graph Contrastive Learning
Amur Ghose
Yingxue Zhang
Jianye Hao
Mark J. Coates
16
7
0
06 Feb 2023
Representation Deficiency in Masked Language Modeling
Representation Deficiency in Masked Language Modeling
Yu Meng
Jitin Krishnan
Sinong Wang
Qifan Wang
Yuning Mao
Han Fang
Marjan Ghazvininejad
Jiawei Han
Luke Zettlemoyer
50
7
0
04 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders
  with Masking
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
26
30
0
29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption
Chengyu Sun
SSL
19
1
0
28 Jan 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Liya Wang
A. Tien
30
7
0
28 Jan 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs
STERLING: Synergistic Representation Learning on Bipartite Graphs
Baoyu Jing
Yuchen Yan
Kaize Ding
Chanyoung Park
Yada Zhu
Huan Liu
Hanghang Tong
SSL
19
18
0
25 Jan 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Zhe Li
Zhongwen Rao
Lujia Pan
Pengyun Wang
Zenglin Xu
AI4TS
18
48
0
21 Jan 2023
Scaling Language-Image Pre-training via Masking
Scaling Language-Image Pre-training via Masking
Yanghao Li
Haoqi Fan
Ronghang Hu
Christoph Feichtenhofer
Kaiming He
CLIP
VLM
16
317
0
01 Dec 2022
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
Yuanning Cui
Yuxin Wang
Zequn Sun
Wenqiang Liu
Yiqiao Jiang
Kexin Han
Wei Hu
CLL
KELM
12
22
0
29 Nov 2022
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular
  Representation
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Zhen Wang
Zheng Feng
Yanjun Li
Bowen Li
Yongrui Wang
C. Sha
Min He
Xiaolin Li
AI4CE
27
9
0
25 Nov 2022
A Systematic Survey of Chemical Pre-trained Models
A Systematic Survey of Chemical Pre-trained Models
Jun-Xiong Xia
Yanqiao Zhu
Yuanqi Du
Stan Z.Li
AI4CE
54
51
0
29 Oct 2022
M3FGM:a node masking and multi-granularity message passing-based
  federated graph model for spatial-temporal data prediction
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction
Yuxing Tian
Zheng Liu
Yanwen Qu
Song Li
Jiachi Luo
AI4CE
14
0
0
27 Oct 2022
FIMP: Foundation Model-Informed Message Passing for Graph Neural
  Networks
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks
S. Rizvi
Nazreen Pallikkavaliyaveetil
David Zhang
Zhuoyang Lyu
Nhi Nguyen
...
Amin Karbasi
Rex Ying
Maria Brbić
Rahul M. Dhodapkar
David van Dijk
GNN
AI4CE
13
1
0
17 Oct 2022
An Additive Autoencoder for Dimension Estimation
An Additive Autoencoder for Dimension Estimation
T. Kärkkäinen
Jan Hänninen
21
6
0
13 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju
Tong Zhao
Qianlong Wen
Wenhao Yu
Neil Shah
Yanfang Ye
Chuxu Zhang
SSL
11
34
0
05 Oct 2022
Improving Molecular Pretraining with Complementary Featurizations
Improving Molecular Pretraining with Complementary Featurizations
Yanqiao Zhu
Dingshuo Chen
Yuanqi Du
Yingze Wang
Qiang Liu
Shu Wu
AI4CE
28
6
0
29 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
16
13
0
28 Sep 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
X. Zhang
Qiaoyu Tan
Xiao Shi Huang
Bo-wen Li
28
15
0
14 Sep 2022
Heterogeneous Graph Masked Autoencoders
Heterogeneous Graph Masked Autoencoders
Yijun Tian
Kaiwen Dong
Chunhui Zhang
Chuxu Zhang
Nitesh V. Chawla
22
74
0
21 Aug 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision
  and Beyond
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Chaoning Zhang
Chenshuang Zhang
Junha Song
John Seon Keun Yi
Kang Zhang
In So Kweon
SSL
42
70
0
30 Jul 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised
  Learning
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
Jiashun Cheng
Man Li
Jia Li
Fugee Tsung
SSL
22
14
0
26 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
17
20
0
16 Jun 2022
What's Behind the Mask: Understanding Masked Graph Modeling for Graph
  Autoencoders
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Jintang Li
Ruofan Wu
Wangbin Sun
Liang Chen
Sheng Tian
Liang Zhu
Changhua Meng
Zibin Zheng
Weiqiang Wang
SSL
11
78
0
20 May 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
27
108
0
04 Apr 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
41
55
0
18 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
19
218
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
13
0
0
30 Jan 2022
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