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. 1611.07308
  4. Cited By
Variational Graph Auto-Encoders

Variational Graph Auto-Encoders

21 November 2016
Thomas Kipf
Max Welling
    GNN
    BDL
    SSL
    CML
ArXivPDFHTML

Papers citing "Variational Graph Auto-Encoders"

50 / 571 papers shown
Title
DiffWire: Inductive Graph Rewiring via the Lovász Bound
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Adrián Arnaiz-Rodríguez
Ahmed Begga
Francisco Escolano
Nuria Oliver
32
63
0
15 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
44
90
0
09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph
  Autoencoder
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
Jaemin Yoo
Hyunsik Jeon
Jinhong Jung
U. Kang
BDL
19
18
0
09 Jun 2022
Continuous Temporal Graph Networks for Event-Based Graph Data
Continuous Temporal Graph Networks for Event-Based Graph Data
Jin Guo
Zhen Han
Zhou Su
Jiliang Li
Volker Tresp
Yuyi Wang
AI4CE
21
5
0
31 May 2022
coVariance Neural Networks
coVariance Neural Networks
Saurabh Sihag
Gonzalo Mateos
Corey McMillan
Alejandro Ribeiro
31
10
0
31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
85
37
0
30 May 2022
Embedding Graphs on Grassmann Manifold
Embedding Graphs on Grassmann Manifold
Bingxin Zhou
Xuebin Zheng
Yu Guang Wang
Ming Li
Junbin Gao
30
3
0
30 May 2022
Sparse Graph Learning from Spatiotemporal Time Series
Sparse Graph Learning from Spatiotemporal Time Series
Andrea Cini
Daniele Zambon
Cesare Alippi
CML
AI4TS
43
18
0
26 May 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
52
549
0
22 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue
Chunhui Zhang
Chuxu Zhang
Hongfu Liu
47
31
0
19 May 2022
Learning Graph Structure from Convolutional Mixtures
Learning Graph Structure from Convolutional Mixtures
Max Wasserman
Saurabh Sihag
Gonzalo Mateos
Alejandro Ribeiro
GNN
CML
BDL
44
6
0
19 May 2022
Scalable Multi-view Clustering with Graph Filtering
Scalable Multi-view Clustering with Graph Filtering
Liang Liu
Peng Chen
Guangchun Luo
Zhao Kang
Yonggang Luo
Sanchu Han
41
21
0
18 May 2022
Multi-Task Text Classification using Graph Convolutional Networks for
  Large-Scale Low Resource Language
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
Mounika Marreddy
S. Oota
Lakshmi Sireesha Vakada
Venkata Charan Chinni
R. Mamidi
19
12
0
02 May 2022
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum
  Phishing Scams Detection
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li
Gaopeng Gou
Chang Liu
Chengshang Hou
Zhenzhen Li
G. Xiong
GNN
21
88
0
28 Apr 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph Clustering
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
39
8
0
27 Apr 2022
Generating Topological Structure of Floorplans from Room Attributes
Generating Topological Structure of Floorplans from Room Attributes
Yu Yin
Will Hutchcroft
Naji Khosravan
Ivaylo Boyadzhiev
Y. Fu
S. B. Kang
19
2
0
26 Apr 2022
Completing Networks by Learning Local Connection Patterns
Completing Networks by Learning Local Connection Patterns
Zhang Zhang
Ruyi Tao
Yongzai Tao
Mingze Qi
Jiang Zhang
GNN
13
0
0
25 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Chaoli Wang
J. Han
41
36
0
13 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Haonan Wang
Jieyu Zhang
Qi Zhu
Wei Huang
30
31
0
11 Apr 2022
Decompositional Generation Process for Instance-Dependent Partial Label
  Learning
Decompositional Generation Process for Instance-Dependent Partial Label Learning
Congyu Qiao
Ning Xu
Xin Geng
126
75
0
08 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
28
29
0
06 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus
Andreas Loukas
Nathanael Perraudin
Roger Wattenhofer
44
67
0
04 Apr 2022
Co-Membership-based Generic Anomalous Communities Detection
Co-Membership-based Generic Anomalous Communities Detection
Shay Lapid
Dima Kagan
Michael Fire
14
0
0
30 Mar 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
45
97
0
29 Mar 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting
  Graph Neural Networks
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Wanyu Lin
Hao Lan
Hao Wang
Baochun Li
BDL
CML
38
50
0
29 Mar 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeon-ju Park
Seunghun Lee
S. Kim
Jinyoung Park
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
16
49
0
26 Mar 2022
Gransformer: Transformer-based Graph Generation
Gransformer: Transformer-based Graph Generation
Ahmad Khajenezhad
Seyed Ali Osia
Mahmood Karimian
H. Beigy
27
2
0
25 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Graph Pre-training for AMR Parsing and Generation
Graph Pre-training for AMR Parsing and Generation
Xuefeng Bai
Yulong Chen
Yue Zhang
SSL
52
99
0
15 Mar 2022
MoReL: Multi-omics Relational Learning
MoReL: Multi-omics Relational Learning
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Xiaoning Qian
27
7
0
15 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
46
108
0
01 Mar 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Menglin Yang
Min Zhou
Zhihao Li
Jiahong Liu
Lujia Pan
Hui Xiong
Irwin King
29
52
0
28 Feb 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
33
21
0
28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
68
19
0
28 Feb 2022
Differential equation and probability inspired graph neural networks for latent variable learning
Differential equation and probability inspired graph neural networks for latent variable learning
Zhuangwei Shi
14
3
0
28 Feb 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
26
22
0
25 Feb 2022
Directed Graph Auto-Encoders
Directed Graph Auto-Encoders
Georgios Kollias
Vasileios Kalantzis
Tsuyoshi Idé
A. Lozano
Naoki Abe
BDL
GNN
36
35
0
25 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction
Path-Aware Graph Attention for HD Maps in Motion Prediction
Fang Da
Yu Zhang
GNN
27
27
0
23 Feb 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
39
51
0
22 Feb 2022
Improving the Level of Autism Discrimination through GraphRNN Link
  Prediction
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Haonan Sun
Q. He
Shouliang Qi
Yudong Yao
Yueyang Teng
22
0
0
19 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
46
55
0
18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
34
80
0
17 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
38
22
0
17 Feb 2022
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph
  Learning Framework
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Xiangjie Kong
Kailai Wang
Mingliang Hou
Feng Xia
G. Karmakar
Jianxin Li
AI4TS
33
43
0
17 Feb 2022
Graph Masked Autoencoders with Transformers
Graph Masked Autoencoders with Transformers
Sixiao Zhang
Hongxu Chen
Haoran Yang
Xiangguo Sun
Philip S. Yu
Guandong Xu
21
18
0
17 Feb 2022
Task-Agnostic Graph Explanations
Task-Agnostic Graph Explanations
Yaochen Xie
S. Katariya
Xianfeng Tang
E-Wen Huang
Nikhil S. Rao
Karthik Subbian
Shuiwang Ji
51
25
0
16 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
32
219
0
16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
43
12
0
10 Feb 2022
Bandit Sampling for Multiplex Networks
Bandit Sampling for Multiplex Networks
Cenk Baykal
Vamsi K. Potluru
Sameena Shah
Manuela Veloso
11
2
0
08 Feb 2022
Previous
123...567...101112
Next