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. 1709.07604
  4. Cited By
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 Survey on Knowledge Graph-Based Recommender Systems
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
29
727
0
28 Feb 2020
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
Dalong Zhang
Xianzheng Song
Ziqi Liu
Qing Cui
Xin Huang
Lin Wang
Jun Zhou
4
4
0
27 Feb 2020
Dividing the Ontology Alignment Task with Semantic Embeddings and
  Logic-based Modules
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules
Ernesto Jiménez-Ruiz
Asan Agibetov
Jiaoyan Chen
Matthias Samwald
V. Cross
26
25
0
25 Feb 2020
Label-guided Learning for Text Classification
Label-guided Learning for Text Classification
Xien Liu
Song Wang
Xiao Zhang
Xinxin You
Ji Wu
Dejing Dou
17
9
0
25 Feb 2020
Dual Graph Representation Learning
Dual Graph Representation Learning
Huiling Zhu
Xin Luo
Hankui Zhuo
GNN
14
0
0
25 Feb 2020
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection
  innoisy Knowledge Graphs
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs
K. Bougiatiotis
R. Fasoulis
F. Aisopos
A. Nentidis
George Giannakopoulos
16
4
0
19 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,080
0
13 Feb 2020
Relation Embedding for Personalised POI Recommendation
Relation Embedding for Personalised POI Recommendation
Xianjing Wang
Flora D. Salim
Yongli Ren
Piotr Koniusz
16
12
0
09 Feb 2020
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi
D. Firmani
Antonio Matinata
P. Merialdo
Denilson Barbosa
22
340
0
03 Feb 2020
An Ontology-Aware Framework for Audio Event Classification
An Ontology-Aware Framework for Audio Event Classification
Yiwei Sun
Shabnam Ghaffarzadegan
16
23
0
27 Jan 2020
A Classification-Based Approach to Semi-Supervised Clustering with
  Pairwise Constraints
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints
Marek Śmieja
Lukasz Struski
Mário A. T. Figueiredo
22
37
0
18 Jan 2020
Deep Collaborative Embedding for information cascade prediction
Deep Collaborative Embedding for information cascade prediction
Yuhui Zhao
Ning Yang
Tao Lin
Philip S. Yu
GNN
6
13
0
18 Jan 2020
ExEm: Expert Embedding using dominating set theory with deep learning
  approaches
ExEm: Expert Embedding using dominating set theory with deep learning approaches
Narjes Nikzad Khasmakhi
M. Balafar
M. Feizi-Derakhshi
C. Motamed
24
18
0
16 Jan 2020
Tensor Graph Convolutional Networks for Text Classification
Tensor Graph Convolutional Networks for Text Classification
Xien Liu
Xinxin You
Xiao Zhang
Ji Wu
Ping Lv
GNN
24
244
0
12 Jan 2020
Can x2vec Save Lives? Integrating Graph and Language Embeddings for
  Automatic Mental Health Classification
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
Alex Ruch
22
6
0
04 Jan 2020
Non-Parametric Learning of Gaifman Models
Non-Parametric Learning of Gaifman Models
Devendra Singh Dhami
Siwen Yan
Gautam Kunapuli
S. Natarajan
22
3
0
02 Jan 2020
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
21
77
0
25 Dec 2019
Privacy Attacks on Network Embeddings
Privacy Attacks on Network Embeddings
Michael Ellers
Michael Cochez
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
AAML
11
12
0
23 Dec 2019
Probability Calibration for Knowledge Graph Embedding Models
Probability Calibration for Knowledge Graph Embedding Models
Pedro Tabacof
Luca Costabello
8
45
0
20 Dec 2019
Community detection in node-attributed social networks: a survey
Community detection in node-attributed social networks: a survey
Petr Chunaev
14
237
0
20 Dec 2019
Bridging the Gap between Community and Node Representations: Graph
  Embedding via Community Detection
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
A. Lutov
Dingqi Yang
Philippe Cudré-Mauroux
9
7
0
17 Dec 2019
Exploring Multi-Banking Customer-to-Customer Relations in AML Context
  with Poincaré Embeddings
Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincaré Embeddings
Lucia Larise Stavarache
D. Narbutis
Toyotaro Suzumura
R. Harishankar
Augustas Zaltauskas
14
4
0
04 Dec 2019
Gaussian Embedding of Large-scale Attributed Graphs
Gaussian Embedding of Large-scale Attributed Graphs
B. Hettige
Yuan-Fang Li
Weiqing Wang
Wray L. Buntine
BDL
6
7
0
02 Dec 2019
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual
  Data
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data
Michael Günther
Maik Thiele
Wolfgang Lehner
11
7
0
28 Nov 2019
Customized Graph Embedding: Tailoring Embedding Vectors to different
  Applications
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications
Bitan Hou
Yujing Wang
Ming Zeng
Shan Jiang
Ole J. Mengshoel
Yunhai Tong
Jing Bai
14
2
0
21 Nov 2019
Exponential Family Graph Embeddings
Exponential Family Graph Embeddings
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
25
13
0
20 Nov 2019
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with
  Personalized Higher-Order Proximity Preserved
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
Jianxin Li
Cheng Ji
Hao Peng
Yu He
Yangqiu Song
Xinmiao Zhang
Fanzhang Peng
7
2
0
18 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings
A Capsule Network-based Model for Learning Node Embeddings
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
25
9
0
12 Nov 2019
Network Classifiers With Output Smoothing
Network Classifiers With Output Smoothing
Elsa Rizk
Roula Nassif
Ali H. Sayed
14
1
0
30 Oct 2019
A Survey on Knowledge Graph Embeddings with Literals: Which model links
  better Literal-ly?
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
Genet Asefa Gesese
Russa Biswas
Mehwish Alam
Harald Sack
22
82
0
28 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
22
80
0
25 Oct 2019
Network2Vec Learning Node Representation Based on Space Mapping in
  Networks
Network2Vec Learning Node Representation Based on Space Mapping in Networks
Zhenhua Huang
Zhenyu Wang
Rui Zhang
Yangyang Zhao
Xiaohui Xie
S. Mehrotra
23
1
0
23 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi
Qiannan Zhang
Han Yufei
Xiangliang Zhang
GNN
21
8
0
22 Oct 2019
Entity Summarization: State of the Art and Future Challenges
Entity Summarization: State of the Art and Future Challenges
Qingxia Liu
Gong Cheng
Kalpa Gunaratna
Yuzhong Qu
AI4TS
8
37
0
18 Oct 2019
Constrained Non-Affine Alignment of Embeddings
Constrained Non-Affine Alignment of Embeddings
Yuwei Wang
Yan Zheng
Yanqing Peng
Chin-Chia Michael Yeh
Zhongfang Zhuang
Das Mahashweta
Bendre Mangesh
Feifei Li
Wei Zhang
J. M. Phillips
14
3
0
13 Oct 2019
Spectral embedding of weighted graphs
Spectral embedding of weighted graphs
Ian Gallagher
Andrew Jones
A. Bertiger
Carey Priebe
Patrick Rubin-Delanchy
13
16
0
12 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable
  graph embedding
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Chenhui Deng
Zhiqiang Zhao
Yongyu Wang
Zhiru Zhang
Zhuo Feng
32
105
0
06 Oct 2019
Predicting the Role of Political Trolls in Social Media
Predicting the Role of Political Trolls in Social Media
Atanas G. Atanasov
Danny Scarponi
Daniel Klein
17
26
0
04 Oct 2019
Dynamic Joint Variational Graph Autoencoders
Dynamic Joint Variational Graph Autoencoders
Sedigheh Mahdavi
Shima Khoshraftar
Aijun An
BDL
8
24
0
04 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network
Learning Robust Representations with Graph Denoising Policy Network
Lu Wang
Wenchao Yu
Wei Wang
Wei Cheng
Wei Zhang
H. Zha
Xiaofeng He
Haifeng Chen
OOD
6
26
0
04 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
29
0
0
26 Sep 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
19
129
0
26 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation
  Invariant Set Functions
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions
Shupeng Gui
Xiangliang Zhang
Pan Zhong
Shuang Qiu
Mingrui Wu
Jieping Ye
Zhengdao Wang
Ji Liu
27
15
0
25 Sep 2019
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using
  Language Models and Iterative Re-Ranking
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking
Pratyay Banerjee
LRM
11
21
0
19 Sep 2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian
Homa Hosseinmardi
Aram Galstyan
E. Airoldi
A. Clauset
21
128
0
17 Sep 2019
DyANE: Dynamics-aware node embedding for temporal networks
DyANE: Dynamics-aware node embedding for temporal networks
Koya Sato
Mizuki Oka
Alain Barrat
C. Cattuto
AI4TS
AI4CE
8
15
0
12 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics
Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu
Tianlin Li
C. Shi
Philip S. Yu
Yanfang Ye
AI4TS
AI4CE
19
117
0
10 Sep 2019
Composing Knowledge Graph Embeddings via Word Embeddings
Composing Knowledge Graph Embeddings via Word Embeddings
Lianbo Ma
Peng Sun
Zhiwei Lin
Hui Wang
CoGe
28
10
0
09 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous
  Information Network Embedding
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
Yu He
Yangqiu Song
Jianxin Li
Cheng Ji
Jian Peng
Hao Peng
13
111
0
07 Sep 2019
Parallel Computation of Graph Embeddings
Parallel Computation of Graph Embeddings
Chi Thang Duong
Hongzhi Yin
Thanh Dat Hoang
Truong Giang Le Ba
Matthias Weidlich
Quoc Viet Hung Nguyen
Karl Aberer
GNN
17
2
0
06 Sep 2019
Previous
123456789
Next