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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"

39 / 89 papers shown
Title
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
19
22
0
25 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph
  Contrastive Learning
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
Kaize Ding
Yancheng Wang
Yingzhen Yang
Huan Liu
25
22
0
17 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and
  Link Prediction
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
13
49
0
02 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
22
0
0
30 Jan 2022
ReGAE: Graph autoencoder based on recursive neural networks
ReGAE: Graph autoencoder based on recursive neural networks
Adam Malkowski
Jakub Grzechociñski
Pawel Wawrzyñski
GNN
21
0
0
28 Jan 2022
Learning Graph Augmentations to Learn Graph Representations
Learning Graph Augmentations to Learn Graph Representations
Kaveh Hassani
Amir Hosein Khas Ahmadi
48
21
0
24 Jan 2022
GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings
  for Nowcasting Extreme Events
GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings for Nowcasting Extreme Events
Bo Feng
Geoffrey C. Fox
AI4TS
17
1
0
18 Jan 2022
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
6
201
0
29 Dec 2021
Multilayer Graph Contrastive Clustering Network
Multilayer Graph Contrastive Clustering Network
Liang Liu
Zhao Kang
Ling Tian
Wenbo Xu
Xixu He
13
15
0
28 Dec 2021
Graph-wise Common Latent Factor Extraction for Unsupervised Graph
  Representation Learning
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
Thilini Cooray
Ngai-man Cheung
19
6
0
16 Dec 2021
AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph
  Convolution
AnchorGAE: General Data Clustering via O(n)O(n)O(n) Bipartite Graph Convolution
Hongyuan Zhang
Jiankun Shi
Rui Zhang
Xuelong Li
GNN
77
1
0
12 Nov 2021
Deep Attention-guided Graph Clustering with Dual Self-supervision
Deep Attention-guided Graph Clustering with Dual Self-supervision
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
21
22
0
10 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
18
3
0
29 Oct 2021
Deconvolutional Networks on Graph Data
Deconvolutional Networks on Graph Data
Jia Li
Jiajin Li
Yang Liu
Jianwei Yu
Yueting Li
Hongtao Cheng
GNN
10
21
0
29 Oct 2021
Multi-view Contrastive Graph Clustering
Multi-view Contrastive Graph Clustering
Erlin Pan
Zhao Kang
11
189
0
22 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
58
29
0
15 Oct 2021
Latent Network Embedding via Adversarial Auto-encoders
Latent Network Embedding via Adversarial Auto-encoders
Minglong Lei
Yong Shi
Lingfeng Niu
GNN
21
0
0
30 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
24
42
0
24 Aug 2021
Attention-driven Graph Clustering Network
Attention-driven Graph Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
GNN
19
102
0
12 Aug 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel
  Contrast
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Wei Zhuo
Guang Tan
SSL
13
0
0
07 Jun 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent
  Reinforcement Learning
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Yunru Bai
Dapeng Li
Bin Zhang
Guoliang Fan
17
9
0
13 May 2021
Unsupervised Deep Manifold Attributed Graph Embedding
Unsupervised Deep Manifold Attributed Graph Embedding
Z. Zang
Siyuan Li
Di Wu
Jianzhu Guo
Yongjie Xu
Stan Z. Li
DRL
18
5
0
27 Apr 2021
Unsupervised Hyperbolic Representation Learning via Message Passing
  Auto-Encoders
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Jiwoong Park
Junho Cho
H. Chang
J. Choi
SSL
16
23
0
30 Mar 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Feng Xia
Philip S. Yu
SSL
19
542
0
27 Feb 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
19
324
0
22 Feb 2021
A Multiscale Graph Convolutional Network for Change Detection in
  Homogeneous and Heterogeneous Remote Sensing Images
A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images
Junzheng Wu
Biao Li
Yao Qin
W. Ni
Han Zhang
Yuli Sun
20
58
0
16 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
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
162
123
0
17 Oct 2020
Visual Object Tracking by Segmentation with Graph Convolutional Network
Visual Object Tracking by Segmentation with Graph Convolutional Network
Bo Jiang
Panpan Zhang
Lili Huang
VOS
8
3
0
05 Sep 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Mingyuan Ma
Sen Na
Hongyu Wang
GNN
21
28
0
03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
14
218
0
03 Jul 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
13
1,271
0
10 Jun 2020
Adaptive Graph Auto-Encoder for General Data Clustering
Adaptive Graph Auto-Encoder for General Data Clustering
Xuelong Li
Hongyuan Zhang
Rui Zhang
GNN
AI4CE
6
80
0
20 Feb 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models
Simple and Effective Graph Autoencoders with One-Hop Linear Models
Guillaume Salha-Galvan
Romain Hennequin
Michalis Vazirgiannis
GNN
19
48
0
21 Jan 2020
Distribution-induced Bidirectional Generative Adversarial Network for
  Graph Representation Learning
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Shuai Zheng
Zhenfeng Zhu
Xingxing Zhang
Zhizhe Liu
Jian Cheng
Yao-Min Zhao
OOD
GAN
22
32
0
04 Dec 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching
GLMNet: Graph Learning-Matching Networks for Feature Matching
Bo Jiang
Pengfei Sun
Jin Tang
B. Luo
17
34
0
18 Nov 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Guillaume Salha-Galvan
Romain Hennequin
Michalis Vazirgiannis
GNN
BDL
27
50
0
02 Oct 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,397
0
20 Dec 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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