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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"

37 / 437 papers shown
Title
Reasoning over RDF Knowledge Bases using Deep Learning
Reasoning over RDF Knowledge Bases using Deep Learning
Monireh Ebrahimi
Md Kamruzzaman Sarker
Federico Bianchi
Ning Xie
Derek Doran
Pascal Hitzler
ReLM
LRM
17
16
0
09 Nov 2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun
Bortik Bandyopadhyay
Armin Bashizade
Jiongqian Liang
P. Sadayappan
Srinivasan Parthasarathy
11
50
0
02 Nov 2018
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
23
54
0
22 Oct 2018
Systematic Biases in Link Prediction: comparing heuristic and graph
  embedding based methods
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
Aakash Sinha
Rémy Cazabet
Rémi Vaudaine
16
9
0
11 Oct 2018
Constructing Graph Node Embeddings via Discrimination of Similarity
  Distributions
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions
Stanislav Tsepa
Maxim Panov
16
1
0
06 Oct 2018
Graph Embedding with Shifted Inner Product Similarity and Its Improved
  Approximation Capability
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
Akifumi Okuno
Geewook Kim
Hidetoshi Shimodaira
15
8
0
04 Oct 2018
Weighted Spectral Embedding of Graphs
Weighted Spectral Embedding of Graphs
Thomas Bonald
Alexandre Hollocou
Marc Lelarge
24
9
0
28 Sep 2018
Graph Convolutional Networks for Text Classification
Graph Convolutional Networks for Text Classification
Liang Yao
Chengsheng Mao
Yuan Luo
GNN
22
1,807
0
15 Sep 2018
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework
Liheng Chen
Yanru Qu
Zhenghui Wang
Lin Qiu
Weinan Zhang
Ken Chen
Shaodian Zhang
Yong Yu
16
2
0
12 Sep 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski
Stephan Günnemann
AAML
16
300
0
04 Sep 2018
EmbeddingVis: A Visual Analytics Approach to Comparative Network
  Embedding Inspection
EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection
Quan Li
Kristanto Sean Njotoprawiro
Hammad Haleem
Qiaoan Chen
Chris Yi
Xiaojuan Ma
6
56
0
28 Aug 2018
Syntree2Vec - An algorithm to augment syntactic hierarchy into word
  embeddings
Syntree2Vec - An algorithm to augment syntactic hierarchy into word embeddings
Shubham Bhardwaj
11
1
0
14 Aug 2018
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use
  Cases
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases
Martina Garofalo
Maria Angela Pellegrino
Abdulrahman Altabba
Michael Cochez
AI4CE
19
19
0
31 Jul 2018
Attention Models in Graphs: A Survey
Attention Models in Graphs: A Survey
J. B. Lee
Ryan A. Rossi
Sungchul Kim
Nesreen K. Ahmed
Eunyee Koh
GNN
15
162
0
20 Jul 2018
One-Class Kernel Spectral Regression
One-Class Kernel Spectral Regression
Shervin Rahimzadeh Arashloo
J. Kittler
12
8
0
03 Jul 2018
Knowledge-Based Distant Regularization in Learning Probabilistic Models
Knowledge-Based Distant Regularization in Learning Probabilistic Models
Naoya Takeishi
Kosuke Akimoto
11
5
0
29 Jun 2018
Exploring the Semantic Content of Unsupervised Graph Embeddings: An
  Empirical Study
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
Stephen Bonner
Ibad Kureshi
John Brennan
Georgios Theodoropoulos
A. Mcgough
B. Obara
17
34
0
19 Jun 2018
Closed Form Word Embedding Alignment
Closed Form Word Embedding Alignment
Sunipa Dev
Safia Hassan
J. M. Phillips
19
3
0
04 Jun 2018
A Geometric Approach for Real-time Monitoring of Dynamic Large Scale
  Graphs: AS-level graphs illustrated
A Geometric Approach for Real-time Monitoring of Dynamic Large Scale Graphs: AS-level graphs illustrated
Loqman Salamatian
Dali Kaafar
Kave Salamatian
6
4
0
02 Jun 2018
On representation power of neural network-based graph embedding and
  beyond
On representation power of neural network-based graph embedding and beyond
Akifumi Okuno
Hidetoshi Shimodaira
21
2
0
31 May 2018
Anonymous Walk Embeddings
Anonymous Walk Embeddings
Sergey Ivanov
Evgeny Burnaev
GNN
20
178
0
30 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph
  Representation Learning
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Shupeng Gui
Xiangliang Zhang
Shuang Qiu
Mingrui Wu
Jieping Ye
Ji Liu
6
0
0
28 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
20
1,054
0
21 May 2018
From Word to Sense Embeddings: A Survey on Vector Representations of
  Meaning
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados
Mohammad Taher Pilehvar
25
335
0
10 May 2018
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
134
285
0
01 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed
  Network Embedding
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Vachik S. Dave
Baichuan Zhang
Pin-Yu Chen
M. Hasan
BDL
26
1
0
23 Apr 2018
Learning Topic Models by Neighborhood Aggregation
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
14
3
0
22 Feb 2018
HybridSVD: When Collaborative Information is Not Enough
HybridSVD: When Collaborative Information is Not Enough
Evgeny Frolov
Ivan Oseledets
15
29
0
18 Feb 2018
Node Centralities and Classification Performance for Characterizing Node
  Embedding Algorithms
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms
Kento Nozawa
Masanari Kimura
Atsunori Kanemura
GNN
8
2
0
18 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNN
GAN
14
443
0
13 Feb 2018
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNN
AI4TS
38
618
0
04 Dec 2017
Topological Recurrent Neural Network for Diffusion Prediction
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang
V. Zheng
Zemin Liu
Kevin Chen-Chuan Chang
DiffM
GNN
43
166
0
28 Nov 2017
Estimation of a Low-rank Topic-Based Model for Information Cascades
Estimation of a Low-rank Topic-Based Model for Information Cascades
Ming Yu
Varun Gupta
Mladen Kolar
30
7
0
06 Sep 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
18
637
0
12 Jul 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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
259
3,240
0
24 Nov 2016
On the representation and embedding of knowledge bases beyond binary
  relations
On the representation and embedding of knowledge bases beyond binary relations
Jianfeng Wen
Jianxin Li
Yongyi Mao
Shini Chen
Richong Zhang
60
116
0
28 Apr 2016
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