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Symmetric Graph Convolutional Autoencoder for Unsupervised Graph
  Representation Learning

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

IEEE International Conference on Computer Vision (ICCV), 2019
7 August 2019
Jiwoong Park
Minsik Lee
H. Chang
Kyuewang Lee
J. Choi
    SSL
ArXiv (abs)PDFHTML

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

50 / 96 papers shown
Graph Representation Learning with Massive Unlabeled Data for Rumor Detection
Graph Representation Learning with Massive Unlabeled Data for Rumor Detection
Chaoqun Cui
Caiyan Jia
181
2
0
06 Aug 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Yaowen Hu
Wenxuan Tu
Yue Liu
Xinhang Wan
Junyi Yan
Taichun Zhou
Xinwang Liu
280
0
0
09 Jul 2025
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
Yanbei Liu
Chongxu Wang
Zhitao Xiao
Lei Geng
Yanwei Pang
Xiao Wang
OT
241
0
0
03 Jun 2025
Graph Positional Autoencoders as Self-supervised Learners
Graph Positional Autoencoders as Self-supervised Learners
Yang Liu
Deyu Bo
Wenxuan Cao
Yuan Fang
Yawen Li
C. Shi
SSL
361
2
0
29 May 2025
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
319
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
683
0
0
17 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
516
12
0
08 Jan 2025
Efficient Dynamic Attributed Graph Generation
Efficient Dynamic Attributed Graph GenerationIEEE International Conference on Data Engineering (ICDE), 2024
Fan Li
Xiaoyang Wang
Dawei Cheng
Cong Chen
Yanzhe Zhang
Xuemin Lin
240
9
0
11 Dec 2024
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep
  Learning
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep LearningComputers, Environment and Urban Systems (CEUS), 2024
Yunlei Liang
Jiawei Zhu
Wen-Gui Ye
Song Gao
GNN
227
21
0
23 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs
Scalable Deep Metric Learning on Attributed GraphsInternational Conference on Computational Social Networks (ICCSN), 2024
Xiang Li
G. Agrawal
R. Jin
R. Ramnath
435
0
0
20 Nov 2024
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph CoordinatorsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Hengyu Zhang
Chunxu Shen
Xiangguo Sun
Jie Tan
Yu Rong
Chengzhi Piao
Hong Cheng
Lingling Yi
269
0
0
15 Oct 2024
HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning
HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning
Qianru Zhang
Xinyi Gao
Haixin Wang
Hongzhi Yin
Siu-Ming Yiu
Hongzhi Yin
AI4TS
325
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
371
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
319
28
0
20 Jun 2024
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
Sonny Achten
Zander Op de Beeck
F. Tonin
Volkan Cevher
Johan A. K. Suykens
492
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
447
11
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
196
3
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
281
4
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 Chawla
246
3
0
12 Feb 2024
Sign Rank Limitations for Inner Product Graph Decoders
Sign Rank Limitations for Inner Product Graph DecodersInternational Conference on Machine Learning (ICML), 2024
Su Hyeong Lee
Qingqi Zhang
Risi Kondor
280
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
270
18
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
290
36
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
226
12
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
1.0K
90
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
260
1
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 LearningIEEE International Conference on Data Engineering (ICDE), 2023
Yuxiang Wang
Xiao Yan
Chuang Hu
Fangcheng Fu
Wentao Zhang
Hao Wang
Shuo Shang
Jiawei Jiang
SSL
158
16
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
345
70
0
15 Oct 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning RevisitedIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zheng Wang
H. Ding
Leyi Pan
Jianhua Li
Zhiguo Gong
Philip S. Yu
GNN
369
18
0
24 Sep 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training
Motif-aware Attribute Masking for Molecular Graph Pre-trainingLOG IN (LOG IN), 2023
Eric Inae
Gang Liu
Meng Jiang
AI4CE
353
19
0
08 Sep 2023
VDFD: Multi-Agent Value Decomposition Framework with Disentangled World Model
VDFD: Multi-Agent Value Decomposition Framework with Disentangled World Model
Zhizun Wang
David Meger
DRL
328
4
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
136
2
0
19 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent
  Space Reconstruction
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space ReconstructionInternational Conference on Information and Knowledge Management (CIKM), 2023
Yucheng Shi
Yushun Dong
Qiaoyu Tan
Jundong Li
Ninghao Liu
379
37
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
157
5
0
15 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number
Reinforcement Graph Clustering with Unknown Cluster NumberACM Multimedia (ACM MM), 2023
Yue Liu
K. Liang
Jun Xia
Xihong Yang
Sihang Zhou
Meng Liu
Xinwang Liu
Stan Z. Li
GNN
298
40
0
13 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
MUSE: Multi-View Contrastive Learning for Heterophilic GraphsInternational Conference on Information and Knowledge Management (CIKM), 2023
Mengyi Yuan
Minjie Chen
Xiangci Li
SSL
220
15
0
29 Jul 2023
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence
  Pre-training
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-trainingIEEE International Conference on Computer Vision (ICCV), 2023
Hongfei Yan
Zehua Wang
Yushen Wei
Zerui Li
Guanbin Li
Guanbin Li
321
71
0
17 Jul 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on GraphsKnowledge Discovery and Data Mining (KDD), 2023
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSLOOD
275
9
0
12 Jun 2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Xin Xiong
Jian Zhao
Xiangyu Wang
School of Materials Science
215
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 OneIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hongyuan Zhang
Yanan Zhu
Xuelong Li
250
38
0
20 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph LearnerThe Web Conference (WWW), 2023
Zhenyu Hou
Yufei He
Yukuo Cen
Xiao Liu
Yuxiao Dong
Evgeny Kharlamov
Jie Tang
SSL
205
168
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 ModelingNeural Information Processing Systems (NeurIPS), 2023
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zinan Lin
362
79
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 MaskingThe Web Conference (WWW), 2023
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
360
45
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 CorruptionKnowledge-Based Systems (KBS), 2023
Chengyu Sun
SSL
191
3
0
28 Jan 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Handling Missing Data via Max-Entropy Regularized Graph AutoencoderAAAI Conference on Artificial Intelligence (AAAI), 2022
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Qifeng Bai
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
253
14
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 Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
OOD
307
41
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
168
2
0
16 Nov 2022
Graph Contrastive Learning with Implicit Augmentations
Graph Contrastive Learning with Implicit AugmentationsNeural Networks (NN), 2022
Huidong Liang
Xingjian Du
Bilei Zhu
Zejun Ma
Ke Chen
Junbin Gao
147
42
0
07 Nov 2022
HCL: Improving Graph Representation with Hierarchical Contrastive
  Learning
HCL: Improving Graph Representation with Hierarchical Contrastive LearningInternational Workshop on the Semantic Web (SW), 2022
Jun Wang
Weixun Li
Changyu Hou
Xin Tang
Yixuan Qiao
Rui Fang
Pengyong Li
Peng Gao
Guowang Xie
239
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 LearningIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Hongruixuan Chen
Xiangwei Zhu
Chen Wu
Bo Du
201
72
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
155
3
0
24 Sep 2022
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