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. 1908.02441
  4. Cited By
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph
  Representation Learning

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

7 August 2019
Jiwoong Park
Minsik Lee
H. Chang
Kyuewang Lee
J. Choi
    SSL
ArXivPDFHTML

Papers citing "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning"

50 / 89 papers shown
Title
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
Yang Xiang
Li Fan
Tulika Saha
Xiaoying Pang
Yushan Pan
Haiyang Zhang
Chengtao Ji
43
0
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
49
0
0
17 Jan 2025
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep
  Learning
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning
Yunlei Liang
Jiawei Zhu
Wen-Gui Ye
Song Gao
GNN
66
3
0
23 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs
Scalable Deep Metric Learning on Attributed Graphs
Xiang Li
G. Agrawal
R. Jin
R. Ramnath
69
0
0
20 Nov 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Qianru Zhang
Haixin Wang
S. Yiu
Hongzhi Yin
AI4TS
23
1
0
14 Oct 2024
Modularity aided consistent attributed graph clustering via coarsening
Modularity aided consistent attributed graph clustering via coarsening
Samarth Bhatia
Yukti Makhija
Manoj Kumar
Sandeep Kumar
22
0
0
09 Jul 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive
  Learning Perspective
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Yunfei Liu
Jintang Li
Yuehe Chen
Ruofan Wu
Ericbk Wang
...
Shuheng Shen
Xing Fu
Changhua Meng
Weiqiang Wang
Liang Chen
24
9
0
20 Jun 2024
HeNCler: Node Clustering in Heterophilous Graphs through Learned
  Asymmetric Similarity
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity
Sonny Achten
F. Tonin
V. Cevher
Johan A. K. Suykens
51
0
0
27 May 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
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
Provable Filter for Real-world Graph Clustering
Provable Filter for Real-world Graph Clustering
Xuanting Xie
Erlin Pan
Zhao Kang
Wenyu Chen
Bingheng Li
GNN
39
2
0
06 Mar 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders
UGMAE: A Unified Framework for Graph Masked Autoencoders
Yijun Tian
Chuxu Zhang
Ziyi Kou
Zheyuan Liu
Xiangliang Zhang
Nitesh V. Chawla
21
1
0
12 Feb 2024
Sign Rank Limitations for Inner Product Graph Decoders
Sign Rank Limitations for Inner Product Graph Decoders
Su Hyeong Lee
Qingqi Zhang
Risi Kondor
20
0
0
06 Feb 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering
A Contrastive Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
DRL
27
7
0
28 Dec 2023
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via
  Modularity Maximization
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
Aritra Bhowmick
Mert Kosan
Zexi Huang
Ambuj K. Singh
Sourav Medya
17
17
0
20 Dec 2023
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif
  Discovery
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
Pengwei Yan
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Tianqianjin Lin
Changlong Sun
Xiaozhong Liu
AI4CE
23
2
0
19 Dec 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond
Graph Prompt Learning: A Comprehensive Survey and Beyond
Xiangguo Sun
Jiawen Zhang
Xixi Wu
Hong Cheng
Yun Xiong
Jia Li
25
51
0
28 Nov 2023
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node
  Classification
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification
Yulan Hu
Ouyang Sheng
Zhirui Yang
Yong Liu
31
0
0
02 Nov 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
42
6
0
24 Oct 2023
MAGIC: Detecting Advanced Persistent Threats via Masked Graph
  Representation Learning
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning
Zian Jia
Yun Xiong
Yuhong Nan
Yao Zhang
Jinjing Zhao
Mi Wen
21
16
0
15 Oct 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent
  Reinforcement Learning
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
Zhizun Wang
D. Meger
DRL
17
1
0
08 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-Long Jiang
AI4CE
40
14
0
08 Sep 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution
  Structural Views
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views
Asif Khan
Amos Storkey
24
1
0
19 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent
  Space Reconstruction
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Yucheng Shi
Yushun Dong
Qiaoyu Tan
Jundong Li
Ninghao Liu
42
24
0
18 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection
Mahsa Mesgaran
A. Ben Hamza
31
3
0
15 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number
Reinforcement Graph Clustering with Unknown Cluster Number
Yue Liu
K. Liang
Jun-Xiong Xia
Xihong Yang
Sihang Zhou
Meng Liu
Xinwang Liu
Stan Z. Li
GNN
32
26
0
13 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
Mengyi Yuan
Minjie Chen
Xiangci Li
SSL
26
8
0
29 Jul 2023
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence
  Pre-training
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
Hongfei Yan
Y. Liu
Yushen Wei
Z. Li
Guanbin Li
Liang Lin
23
40
0
17 Jul 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSL
OOD
23
7
0
12 Jun 2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Xin Xiong
F. Shen
Xiangyu Wang
School of Materials Science
8
0
0
27 May 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs
  Simultaneously Instead of One
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
Hongyuan Zhang
Yanan Zhu
Xuelong Li
19
9
0
20 Apr 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
24
104
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
21
28
0
06 Apr 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
34
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
24
1
0
28 Jan 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Tingyang Xu
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
17
12
0
30 Nov 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and
  Open Resource
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
Yue Liu
Jun-Xiong Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
OOD
21
19
0
23 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link
  Prediction
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
23
2
0
16 Nov 2022
Graph Contrastive Learning with Implicit Augmentations
Graph Contrastive Learning with Implicit Augmentations
Huidong Liang
Xingjian Du
Bilei Zhu
Zejun Ma
Ke Chen
Junbin Gao
16
29
0
07 Nov 2022
HCL: Improving Graph Representation with Hierarchical Contrastive
  Learning
HCL: Improving Graph Representation with Hierarchical Contrastive Learning
Jun Wang
Weixun Li
Changyu Hou
Xin Tang
Yixuan Qiao
Rui Fang
Pengyong Li
Peng Gao
Guowang Xie
30
1
0
21 Oct 2022
Unsupervised Multimodal Change Detection Based on Structural
  Relationship Graph Representation Learning
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
Hongruixuan Chen
Naoto Yokoya
Chen Wu
Bo Du
54
51
0
03 Oct 2022
Graph Representation Learning for Energy Demand Data: Application to
  Joint Energy System Planning under Emissions Constraints
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Aron Brenner
Rahman Khorramfar
D. Mallapragada
Saurabh Amin
11
3
0
24 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
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
31
14
0
26 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation
  Learning
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Wentao Zhang
Zeang Sheng
Mingyu Yang
Yang Li
Yu Shen
Zhi-Xin Yang
Bin Cui
AAML
18
16
0
17 Jun 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
Tong Wang
Guanyu Yang
Qijia He
Zhenquan Zhang
Junhua Wu
6
4
0
16 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
45
545
0
22 May 2022
Simple Contrastive Graph Clustering
Simple Contrastive Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
41
110
0
11 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture
  Model
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
14
4
0
10 May 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with
  Self-Supervision
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim
Alice H. Oh
SSL
GNN
23
255
0
11 Apr 2022
12
Next