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SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders
  with Masking

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking

29 January 2023
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
    SSL
ArXivPDFHTML

Papers citing "SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking"

18 / 18 papers shown
Title
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
27
0
0
17 Apr 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Jongwon Park
Heesoo Jung
Hogun Park
49
1
0
10 Mar 2025
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging
  the Gap through Self-Supervised Models
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
Tangwen Qian
Junhe Li
Yile Chen
Gao Cong
Tao Sun
Fei Wang
Y. Xu
AI4TS
33
3
0
17 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning
  Perspective
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
Jintang Li
Ruofan Wu
Yuchang Zhu
Huizhe Zhang
Xinzhou Jin
Guibin Zhang
Zulun Zhu
Zibin Zheng
Liang Chen
SSL
37
0
0
14 Oct 2024
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
Pengfe Jiao
Xinxun Zhang
Mengzhou Gao
Tianpeng Li
Zhidong Zhao
AI4CE
21
0
0
14 Sep 2024
Disentangled Generative Graph Representation Learning
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
38
0
0
24 Aug 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity
  Distillation
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen
Yulan Hu
Sheng Ouyang
Yong Liu
Cuicui Luo
33
0
0
25 Jun 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
35
7
0
07 May 2024
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Xiang Tao
Liang Wang
Qiang Liu
Shu Wu
Liang Wang
21
7
0
24 Apr 2024
Exploring Task Unification in Graph Representation Learning via
  Generative Approach
Exploring Task Unification in Graph Representation Learning via Generative Approach
Yulan Hu
Ouyang Sheng
Zhirui Yang
Ge Chen
Junchen Wan
Xiao Wang
Yong Liu
21
2
0
21 Mar 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang
Xiang Tao
Qiang Liu
Shu Wu
Liang Wang
34
14
0
11 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths
Masked Graph Autoencoder with Non-discrete Bandwidths
Zi-qiang Zhao
Yuhua Li
Yixiong Zou
Jiliang Tang
Ruixuan Li
19
10
0
06 Feb 2024
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
Qingqing Ge
Zeyuan Zhao
Yiding Liu
Anfeng Cheng
Xiang Li
Shuaiqiang Wang
Dawei Yin
21
6
0
26 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph
  Self-Supervised Learning
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
Yuxiang Wang
Xiao Yan
Chuang Hu
Fangcheng Fu
Wentao Zhang
Hao Wang
Shuo Shang
Jiawei Jiang
SSL
37
6
0
24 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient
  Method
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu
Ouyang Sheng
Jingyu Liu
Ge Chen
Zhirui Yang
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Yong Liu
26
0
0
23 Oct 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
Calibrating and Improving Graph Contrastive Learning
Calibrating and Improving Graph Contrastive Learning
Kaili Ma
Haochen Yang
Han Yang
Yongqiang Chen
James Cheng
35
6
0
27 Jan 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
200
885
0
07 Jun 2018
1