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A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

22 September 2017
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
    AI4TS
ArXivPDFHTML

Papers citing "A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications"

50 / 437 papers shown
Title
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman
A. Azad
AI4TS
27
3
0
20 Dec 2021
Triple Classification for Scholarly Knowledge Graph Completion
Triple Classification for Scholarly Knowledge Graph Completion
M. Y. Jaradeh
Kuldeep Singh
M. Stocker
Sören Auer
15
12
0
23 Nov 2021
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
David Bayani
AI4TS
4
1
0
22 Nov 2021
Network representation learning: A macro and micro view
Network representation learning: A macro and micro view
Xueyi Liu
Jie Tang
GNN
AI4TS
19
23
0
21 Nov 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
127
20
0
11 Nov 2021
LSP : Acceleration and Regularization of Graph Neural Networks via
  Locality Sensitive Pruning of Graphs
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
Eitan Kosman
J. Oren
Dotan Di Castro
32
0
0
10 Nov 2021
Topic-aware latent models for representation learning on networks
Topic-aware latent models for representation learning on networks
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
BDL
11
5
0
10 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance
  Attribution Methods
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
16
20
0
04 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Xingchen Wan
Henry Kenlay
Binxin Ru
Arno Blaas
Michael A. Osborne
Xiaowen Dong
AAML
29
12
0
04 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
25
3
0
29 Oct 2021
Node-wise Localization of Graph Neural Networks
Node-wise Localization of Graph Neural Networks
Zemin Liu
Yuan Fang
Chenghao Liu
Guosheng Lin
19
25
0
27 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang
A. Silva
Ambuj K. Singh
18
49
0
24 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku
Jisung Yoon
I. Constantino
Yong-Yeol Ahn
CML
35
23
0
14 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction
  to Node Embedding
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou
Ling Liu
Wenqi Wei
Jianxi Fan
AI4TS
43
73
0
14 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri
Philip E. Davis
P. Subedi
M. Parashar
GNN
36
1
0
13 Oct 2021
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning
  Instances
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
Dieqiao Feng
Carla P. Gomes
B. Selman
ODL
17
18
0
03 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
42
22
0
20 Sep 2021
Harnessing the Power of Ego Network Layers for Link Prediction in Online
  Social Networks
Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks
Mustafa Toprak
C. Boldrini
A. Passarella
M. Conti
11
16
0
19 Sep 2021
Network representation learning systematic review: ancestors and current
  development state
Network representation learning systematic review: ancestors and current development state
Amina Amara
Mohamed Ali Hadj Taieb
M. Benaouicha
AI4TS
GNN
17
23
0
14 Sep 2021
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk
  Node Embeddings
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings
Christy Lin
D. Sussman
Prakash Ishwar
18
5
0
09 Sep 2021
QUINT: Node embedding using network hashing
QUINT: Node embedding using network hashing
Debajyoti Bera
Rameshwar Pratap
Bhisham Dev Verma
Biswadeep Sen
Tanmoy Chakraborty
GNN
27
3
0
09 Sep 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding
  for Heterogeneous Networks
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
R. A. Khan
M. Kleinsteuber
27
3
0
09 Aug 2021
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Shagufta Henna
Shyam Krishnan Kalliadan
GNN
19
2
0
05 Aug 2021
HW2VEC: A Graph Learning Tool for Automating Hardware Security
HW2VEC: A Graph Learning Tool for Automating Hardware Security
S. Yu
Rozhin Yasaei
Qingrong Zhou
Tommy Nguyen
Mohammad Abdullah Al Faruque
16
36
0
26 Jul 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract
  Vulnerability Detection
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Zhenguang Liu
Peng Qian
Xiaoyang Wang
Yuan Zhuang
Lin Qiu
Xun Wang
19
205
0
24 Jul 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
62
0
19 Jul 2021
A Survey on Role-Oriented Network Embedding
A Survey on Role-Oriented Network Embedding
Pengfei Jiao
Xuan Guo
T. Pan
Wang Zhang
Yulong Pei
GNN
21
18
0
18 Jul 2021
Learning Syntactic Dense Embedding with Correlation Graph for Automatic
  Readability Assessment
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Xinying Qiu
Yuan Chen
Hanwu Chen
J. Nie
Yuming Shen
D. Lu
23
17
0
09 Jul 2021
Rating and aspect-based opinion graph embeddings for explainable
  recommendations
Rating and aspect-based opinion graph embeddings for explainable recommendations
Iván Cantador
Andrés Carvallo
F. Díez
22
3
0
07 Jul 2021
Graphing else matters: exploiting aspect opinions and ratings in
  explainable graph-based recommendations
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Iván Cantador
Andrés Carvallo
F. Díez
Denis Parra
22
0
0
07 Jul 2021
Convolutional Hypercomplex Embeddings for Link Prediction
Convolutional Hypercomplex Embeddings for Link Prediction
Caglar Demir
Diego Moussallem
Stefan Heindorf
A. N. Ngomo
15
19
0
29 Jun 2021
Comparing the Structures and Characteristics of Different Game Social
  Networks -- The Steam Case
Comparing the Structures and Characteristics of Different Game Social Networks -- The Steam Case
Enrica Loria
Alessia Antelmi
J. Pirker
11
2
0
23 Jun 2021
Exploring the Representational Power of Graph Autoencoder
Exploring the Representational Power of Graph Autoencoder
Maroun Haddad
Mohamed Bouguessa
13
5
0
22 Jun 2021
Querying in the Age of Graph Databases and Knowledge Graphs
Querying in the Age of Graph Databases and Knowledge Graphs
Marcelo Arenas
Claudio Gutiérrez
Juan Sequeda
25
21
0
22 Jun 2021
Medical Profile Model: Scientific and Practical Applications in
  Healthcare
Medical Profile Model: Scientific and Practical Applications in Healthcare
Pavel Blinov
V. Kokh
11
1
0
21 Jun 2021
Large-Scale Network Embedding in Apache Spark
Large-Scale Network Embedding in Apache Spark
Wenqing Lin
GNN
26
17
0
20 Jun 2021
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in
  Heterogeneous Populations
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations
Alex Markham
Richeek Das
Moritz Grosse-Wentrup
31
9
0
07 Jun 2021
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph
  Networks
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Liang Qu
Huaisheng Zhu
Ruiqi Zheng
Yuhui Shi
Hongzhi Yin
4
97
0
05 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
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using
  Graph Neural Networks
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni
Hakim Ghazzai
Turki Alelyani
Y. Massoud
29
25
0
01 Jun 2021
An Impossibility Theorem for Node Embedding
An Impossibility Theorem for Node Embedding
T. Roddenberry
Yu Zhu
Santiago Segarra
30
0
0
27 May 2021
Out-of-Vocabulary Entities in Link Prediction
Out-of-Vocabulary Entities in Link Prediction
Caglar Demir
A. N. Ngomo
11
5
0
26 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Yecheng Lyu
Xinming Huang
Ziming Zhang
GNN
25
4
0
23 May 2021
Machine learning on knowledge graphs for context-aware security
  monitoring
Machine learning on knowledge graphs for context-aware security monitoring
J. Garrido
Dominik Dold
Johannes Frank
13
19
0
18 May 2021
Meta-Inductive Node Classification across Graphs
Meta-Inductive Node Classification across Graphs
Zhihao Wen
Yuan Fang
Zemin Liu
38
34
0
14 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision
FedGL: Federated Graph Learning Framework with Global Self-Supervision
Chuan Chen
Weibo Hu
Ziyue Xu
Zibin Zheng
FedML
27
54
0
07 May 2021
Bird's Eye: Probing for Linguistic Graph Structures with a Simple
  Information-Theoretic Approach
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
Yifan Hou
Mrinmaya Sachan
15
10
0
06 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
Network Embedding via Deep Prediction Model
Network Embedding via Deep Prediction Model
Xin Sun
Zenghui Song
Yongbo Yu
Junyu Dong
Claudia Plant
Christian Boehm
GNN
14
2
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
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