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Learning Graph Embedding with Adversarial Training Methods

Learning Graph Embedding with Adversarial Training Methods

4 January 2019
Shirui Pan
Ruiqi Hu
S. Fung
Guodong Long
Jing Jiang
Chengqi Zhang
    GNN
    GAN
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Papers citing "Learning Graph Embedding with Adversarial Training Methods"

40 / 90 papers shown
Title
Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For
  OD Estimation
Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For OD Estimation
Guanzhou Li
Yujing He
Jianping Wu
Duowei Li
BDL
11
0
0
26 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
33
24
0
20 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
34
22
0
10 Nov 2021
GenURL: A General Framework for Unsupervised Representation Learning
GenURL: A General Framework for Unsupervised Representation Learning
Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD
3DGS
OffRL
34
9
0
27 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
61
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
26
0
0
30 Sep 2021
ConTIG: Continuous Representation Learning on Temporal Interaction
  Graphs
ConTIG: Continuous Representation Learning on Temporal Interaction Graphs
Xu Yan
Xiaoliang Fan
Peizhen Yang
Zonghan Wu
Shirui Pan
Longbiao Chen
Yu Zang
Cheng-Yu Wang
8
6
0
27 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
37
42
0
24 Aug 2021
Attention-driven Graph Clustering Network
Attention-driven Graph Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
GNN
35
102
0
12 Aug 2021
Hyperparameter-free and Explainable Whole Graph Embedding
Hyperparameter-free and Explainable Whole Graph Embedding
Hao Wang
Yue Deng
Linyuan Lu
Guanrong Chen
9
3
0
04 Aug 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
35
63
0
19 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic
  Filtering
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
22
31
0
10 Jul 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural
  Networks for Graph Data
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
I-Chung Hsieh
Cheng-Te Li
AAML
22
23
0
22 Jun 2021
Graph Routing between Capsules
Graph Routing between Capsules
Yang Li
Wei-Ye Zhao
Min Zhang
Suhang Wang
Steffen Eger
GNN
11
14
0
22 Jun 2021
Graph-based Deep Learning for Communication Networks: A Survey
Graph-based Deep Learning for Communication Networks: A Survey
Weiwei Jiang
GNN
AI4CE
41
191
0
04 Jun 2021
A Robust and Generalized Framework for Adversarial Graph Embedding
A Robust and Generalized Framework for Adversarial Graph Embedding
Jianxin Li
Xingcheng Fu
Hao Peng
Senzhang Wang
Shijie Zhu
Qingyun Sun
Philip S. Yu
Lifang He
24
16
0
22 May 2021
Graph Learning: A Survey
Graph Learning: A Survey
Feng Xia
Ke Sun
Shuo Yu
Abdul Aziz
Liangtian Wan
Shirui Pan
Huan Liu
GNN
24
343
0
03 May 2021
Graph Neural Networks for Traffic Forecasting
Graph Neural Networks for Traffic Forecasting
João Rico
J. Barateiro
Arlindo L. Oliveira
AI4TS
AI4CE
21
12
0
27 Apr 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
23
5
0
27 Apr 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Man Wu
Shirui Pan
Lan Du
Xingquan Zhu
27
33
0
08 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
27
566
0
28 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
40
289
0
27 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Graph-based Semi-supervised Learning: A Comprehensive Review
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
84
191
0
26 Feb 2021
Adversarial Learning with Cost-Sensitive Classes
Adversarial Learning with Cost-Sensitive Classes
Hao Shen
Sihong Chen
Ran Wang
Xizhao Wang
AAML
30
11
0
29 Jan 2021
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional
  Network for Clustering
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
Guangyu Huo
Yong Zhang
Junbin Gao
Boyue Wang
Yongli Hu
Baocai Yin
GNN
30
28
0
18 Jan 2021
Deep Fusion Clustering Network
Deep Fusion Clustering Network
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Xifeng Guo
Zhiping Cai
En Zhu
Jieren Cheng
27
174
0
15 Dec 2020
Generative Layout Modeling using Constraint Graphs
Generative Layout Modeling using Constraint Graphs
W. Para
Paul Guerrero
Tom Kelly
Leonidas J. Guibas
Peter Wonka
31
68
0
26 Nov 2020
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention
  for Enterprise Distributed Video Streaming Solutions
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions
Stefanos Antaris
Dimitrios Rafailidis
AI4TS
9
5
0
11 Nov 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning
  for Hyperspectral Image Classification
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie-jin Yang
Jian Yang
35
3
0
19 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for
  unsupervised graph representation learning
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis
George Karypis
27
54
0
15 Sep 2020
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for
  Attributed Graph Clustering
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering
Chaojie Ji
Hongwei Chen
Ruxin Wang
Yunpeng Cai
Hongyan Wu
17
12
0
12 Sep 2020
Mutual Teaching for Graph Convolutional Networks
Mutual Teaching for Graph Convolutional Networks
Kun Zhan
Chaoxi Niu
SSL
22
32
0
02 Sep 2020
Adversarial Directed Graph Embedding
Adversarial Directed Graph Embedding
Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
GAN
GNN
17
43
0
09 Aug 2020
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing Features
Hibiki Taguchi
Xin Liu
T. Murata
GNN
33
84
0
09 Jul 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
27
96
0
13 Mar 2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of
  Local Geometric Priors
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang
Ke Chen
Chaozheng Wu
Yu Hong
Kui Jia
Zhixin Yang
3DPC
26
24
0
14 Jan 2020
Graph Transfer Learning via Adversarial Domain Adaptation with Graph
  Convolution
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
29
85
0
04 Sep 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
14
503
0
15 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
11
2,104
0
31 May 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
163
8,362
0
03 Jan 2019
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