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Graph Embedding Techniques, Applications, and Performance: A Survey

Graph Embedding Techniques, Applications, and Performance: A Survey

8 May 2017
Palash Goyal
Emilio Ferrara
    GNN
    AI4TS
ArXivPDFHTML

Papers citing "Graph Embedding Techniques, Applications, and Performance: A Survey"

50 / 120 papers shown
Title
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri
Philip E. Davis
P. Subedi
M. Parashar
GNN
33
1
0
13 Oct 2021
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Jonathan Bryan
Pablo Moriano
13
7
0
11 Oct 2021
Multi-Relation Aware Temporal Interaction Network Embedding
Multi-Relation Aware Temporal Interaction Network Embedding
Ling Chen
Shanshan Yu
Dandan Lyu
Da Wang
AI4TS
25
1
0
09 Oct 2021
Learning Ideological Embeddings from Information Cascades
Learning Ideological Embeddings from Information Cascades
Corrado Monti
Giuseppe Manco
Çigdem Aslay
Francesco Bonchi
22
10
0
28 Sep 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
Unsupervised Domain-adaptive Hash for Networks
Unsupervised Domain-adaptive Hash for Networks
Tao He
Lianli Gao
Jingkuan Song
Yuan-Fang Li
23
1
0
20 Aug 2021
Graph Constrained Data Representation Learning for Human Motion
  Segmentation
Graph Constrained Data Representation Learning for Human Motion Segmentation
Mariella Dimiccoli
Lluís Garrido
Guillem Rodríguez Corominas
H. Wendt
SSL
10
4
0
28 Jul 2021
Visualising Argumentation Graphs with Graph Embeddings and t-SNE
Visualising Argumentation Graphs with Graph Embeddings and t-SNE
Lars Malmqvist
Tommy Yuan
S. Manandhar
GAN
18
1
0
01 Jul 2021
Pairing Conceptual Modeling with Machine Learning
Pairing Conceptual Modeling with Machine Learning
W. Maass
V. Storey
HAI
27
33
0
27 Jun 2021
Graph coarsening: From scientific computing to machine learning
Graph coarsening: From scientific computing to machine learning
Jie Chen
Y. Saad
Zecheng Zhang
33
39
0
22 Jun 2021
Deep adaptive fuzzy clustering for evolutionary unsupervised
  representation learning
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
Dayu Tan
Zheng Huang
Xin Peng
W. Zhong
V. Mahalec
30
11
0
31 Mar 2021
Network Representation Learning: From Traditional Feature Learning to
  Deep Learning
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
25
28
0
07 Mar 2021
Adversarial Attack on Network Embeddings via Supervised Network
  Poisoning
Adversarial Attack on Network Embeddings via Supervised Network Poisoning
Viresh Gupta
Tanmoy Chakraborty
AAML
33
12
0
14 Feb 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
38
294
0
30 Nov 2020
Inductive Graph Embeddings through Locality Encodings
Inductive Graph Embeddings through Locality Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
GNN
10
1
0
26 Sep 2020
Towards a Flexible Embedding Learning Framework
Towards a Flexible Embedding Learning Framework
Chin-Chia Michael Yeh
Dhruv Gelda
Zhongfang Zhuang
Yan Zheng
Liang Gou
Wei Zhang
30
61
0
23 Sep 2020
Learning semantic Image attributes using Image recognition and knowledge
  graph embeddings
Learning semantic Image attributes using Image recognition and knowledge graph embeddings
Ashutosh Tiwari
Sandeep Varma
6
3
0
12 Sep 2020
Community detection in networks using graph embeddings
Community detection in networks using graph embeddings
Aditya Tandon
A. Albeshri
V. Thayananthan
W. Alhalabi
F. Radicchi
S. Fortunato
GNN
20
37
0
11 Sep 2020
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
44
147
0
13 Jul 2020
NASGEM: Neural Architecture Search via Graph Embedding Method
NASGEM: Neural Architecture Search via Graph Embedding Method
Hsin-Pai Cheng
Tunhou Zhang
Yixing Zhang
Shiyu Li
Feng Liang
Feng Yan
Meng Li
Vikas Chandra
H. Li
Yiran Chen
GNN
24
19
0
08 Jul 2020
Subgraph Neural Networks
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
23
134
0
18 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
Hierarchical Class-Based Curriculum Loss
Hierarchical Class-Based Curriculum Loss
Palash Goyal
Shalini Ghosh
22
8
0
05 Jun 2020
Benchmarking neural embeddings for link prediction in knowledge graphs
  under semantic and structural changes
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
Asan Agibetov
Matthias Samwald
39
7
0
15 May 2020
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node
  Embedding
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding
Xiyuan Chen
Mark Heimann
Fatemeh Vahedian
Danai Koutra
3DPC
24
5
0
10 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
Layered Graph Embedding for Entity Recommendation using Wikipedia in the
  Yahoo! Knowledge Graph
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
Chien-Chun Ni
Kin Sum Liu
Nicolas Torzec
9
31
0
15 Apr 2020
Topology-Aware Hashing for Effective Control Flow Graph Similarity
  Analysis
Topology-Aware Hashing for Effective Control Flow Graph Similarity Analysis
Yuping Li
Jiyong Jang
Xinming Ou
11
5
0
14 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
49
57
0
01 Apr 2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene
  Text Detection with Graph Convolutional Networks
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
Chixiang Ma
Lei-huan Sun
Zhuoyao Zhong
Qiang Huo
36
56
0
16 Mar 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making
  Progress?
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
Alexandru Mara
Jefrey Lijffijt
T. D. Bie
40
22
0
25 Feb 2020
Shortest path distance approximation using deep learning techniques
Shortest path distance approximation using deep learning techniques
Fatemeh Salehi Rizi
Jorg Schlotterer
Michael Granitzer
GNN
21
35
0
12 Feb 2020
Deep Graph Matching Consensus
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
30
207
0
27 Jan 2020
Fast Sequence-Based Embedding with Diffusion Graphs
Fast Sequence-Based Embedding with Diffusion Graphs
Benedek Rozemberczki
Rik Sarkar
GNN
14
60
0
21 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
19
37
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
21
18
0
16 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
Predicting Attributes of Nodes Using Network Structure
Predicting Attributes of Nodes Using Network Structure
Sarwan Ali
M. Shakeel
Imdadullah Khan
S. Faizullah
Muhammad Asad Khan
GNN
13
31
0
27 Dec 2019
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
Network Embedding: An Overview
Network Embedding: An Overview
Nino Arsov
G. Mirceva
GNN
16
24
0
26 Nov 2019
Effective Decoding in Graph Auto-Encoder using Triadic Closure
Effective Decoding in Graph Auto-Encoder using Triadic Closure
Han Shi
Haozheng Fan
James T. Kwok
AI4CE
14
39
0
26 Nov 2019
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Ziqiang Cheng
Yang Yang
Wei Wang
Wenjie Hu
Yueting Zhuang
Guojie Song
AI4TS
19
61
0
11 Nov 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
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
30
105
0
06 Oct 2019
On Proximity and Structural Role-based Embeddings in Networks:
  Misconceptions, Techniques, and Applications
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications
Ryan A. Rossi
Di Jin
Sungchul Kim
Nesreen Ahmed
Danai Koutra
J. B. Lee
27
38
0
22 Aug 2019
motif2vec: Motif Aware Node Representation Learning for Heterogeneous
  Networks
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
Manoj Reddy Dareddy
Mahashweta Das
Hao Yang
18
25
0
22 Aug 2019
Network Embedding: on Compression and Learning
Network Embedding: on Compression and Learning
Esra Akbas
M. E. Aktas
GNN
18
9
0
05 Jul 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
13
325
0
12 Jun 2019
On the Use of ArXiv as a Dataset
On the Use of ArXiv as a Dataset
Colin B. Clement
Matthew Bierbaum
K. O’Keeffe
Alexander A. Alemi
AI4CE
8
129
0
30 Apr 2019
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