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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 / 104 papers shown
Title
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
Shengrui XU
Tianchi Lu
Zikun Wang
Jixiu Zhai
32
0
0
03 Apr 2025
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding
Suchanuch Piriyasatit
Chaohao Yuan
Ercan Engin Kuruoglu
50
0
0
14 Mar 2025
Simbanex: Similarity-based Exploration of IEEE VIS Publications
Simbanex: Similarity-based Exploration of IEEE VIS Publications
Daniel Witschard
Ilir Jusufi
Andreas Kerren
21
0
0
31 Aug 2024
Symmetry-driven embedding of networks in hyperbolic space
Symmetry-driven embedding of networks in hyperbolic space
Simon Lizotte
Jean-Gabriel Young
Antoine Allard
32
1
0
15 Jun 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Bruno Deprez
Toon Vanderschueren
Bart Baesens
Tim Verdonck
Wouter Verbeke
49
4
0
29 May 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
45
5
0
09 Feb 2024
GeoAI in Social Science
GeoAI in Social Science
Wenwen Li
AI4CE
17
4
0
19 Dec 2023
Towards the Inferrence of Structural Similarity of Combinatorial
  Landscapes
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes
Mingyu Huang
Ke Li
26
0
0
05 Dec 2023
Question Answering with Deep Neural Networks for Semi-Structured
  Heterogeneous Genealogical Knowledge Graphs
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs
Omri Suissa
M. Zhitomirsky-Geffet
Avshalom Elmalech
GNN
BDL
29
8
0
30 Jul 2023
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in
  Scientific Archives
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
Hamed Rahimi
Hubert Naacke
Camélia Constantin
B. Amann
23
0
0
04 Jun 2023
Graph Embedding Augmented Skill Rating System
Graph Embedding Augmented Skill Rating System
Jiasheng Wang
20
1
0
17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
46
141
0
11 Apr 2023
TBDetector:Transformer-Based Detector for Advanced Persistent Threats
  with Provenance Graph
TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
Nan Wang
Xuezhi Wen
Dalin Zhang
Xibin Zhao
Jiahui Ma
Mengxia Luo
Sen Nie
Shi Wu
Jiqiang Liu
16
5
0
06 Apr 2023
Towards Ranking Schemas by Focus
Towards Ranking Schemas by Focus
Mattia Fumagalli
D. Shi
Fausto Giunchiglia
13
0
0
27 Feb 2023
LaSER: Language-Specific Event Recommendation
LaSER: Language-Specific Event Recommendation
Sara Abdollahi
Simon Gottschalk
Elena Demidova
19
4
0
24 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
Ying Zhang
Zhiqiang Zhao
Zhuo Feng
38
2
0
09 Feb 2023
Model-based inexact graph matching on top of CNNs for semantic scene
  understanding
Model-based inexact graph matching on top of CNNs for semantic scene understanding
Jérémy Chopin
Jean-Baptiste Fasquel
Harold Mouchère
Rozenn Dahyot
Isabelle Bloch
29
6
0
18 Jan 2023
Trace Encoding in Process Mining: a survey and benchmarking
Trace Encoding in Process Mining: a survey and benchmarking
Sylvio Barbon Junior
Paolo Ceravolo
R. Oyamada
G. Tavares
AI4TS
23
20
0
05 Jan 2023
Semantic Graph Neural Network with Multi-measure Learning for
  Semi-supervised Classification
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
28
0
0
04 Dec 2022
A survey on the development status and application prospects of
  knowledge graph in smart grids
A survey on the development status and application prospects of knowledge graph in smart grids
Jian Wang
Xi Wang
Chaoqun Ma
Lei Kou
27
74
0
02 Nov 2022
Self-Optimizing Feature Transformation
Self-Optimizing Feature Transformation
Meng Xiao
Dongjie Wang
Min-Ying Wu
Kunpeng Liu
Hui Xiong
Yuanchun Zhou
Yanjie Fu
33
3
0
16 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification
Hub-aware Random Walk Graph Embedding Methods for Classification
Aleksandar Tomcic
Miloš Savić
Miloš Radovanović
11
2
0
15 Sep 2022
20 years of network community detection
20 years of network community detection
S. Fortunato
Mark E. J. Newman
GNN
13
132
0
30 Jul 2022
Group-wise Reinforcement Feature Generation for Optimal and Explainable
  Representation Space Reconstruction
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction
Dongjie Wang
Yanjie Fu
Kunpeng Liu
Xiaolin Li
Yan Solihin
19
27
0
28 May 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link
  Inference Attacks
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Xiao Han
Leye Wang
Junjie Wu
Yuncong Yang
18
4
0
28 May 2022
Hippocluster: an efficient, hippocampus-inspired algorithm for graph
  clustering
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering
Eric Chalmers
Artur Luczak
19
5
0
19 May 2022
A Mutually Exciting Latent Space Hawkes Process Model for
  Continuous-time Networks
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks
Zhipeng Huang
Hadeel Soliman
Subhadeep Paul
Kevin S. Xu
13
11
0
19 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
13
86
0
28 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 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
26
29
0
06 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
11
50
0
30 Mar 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph
  Modification
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
Sean Current
Yuntian He
Saket Gurukar
Srinivas Parthasarathy
23
13
0
27 Jan 2022
Multi-task Pre-training Language Model for Semantic Network Completion
Multi-task Pre-training Language Model for Semantic Network Completion
Da Li
Sen Yang
Kele Xu
Ming Yi
Yukai He
Huaimin Wang
37
29
0
13 Jan 2022
Entropic Optimal Transport in Random Graphs
Entropic Optimal Transport in Random Graphs
Nicolas Keriven
OT
18
4
0
11 Jan 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
23
0
0
05 Jan 2022
Semi-Supervised Graph Attention Networks for Event Representation
  Learning
Semi-Supervised Graph Attention Networks for Event Representation Learning
João Pedro Rodrigues Mattos
R. Marcacini
GNN
14
4
0
02 Jan 2022
Graph attentive feature aggregation for text-independent speaker
  verification
Graph attentive feature aggregation for text-independent speaker verification
Hye-jin Shim
Ju-Sung Heo
Jae-han Park
Gareth Lee
Ha-Jin Yu
35
16
0
23 Dec 2021
Unsupervised Matching of Data and Text
Unsupervised Matching of Data and Text
N. Ahmadi
H. Sand
Paolo Papotti
32
19
0
16 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
16
60
0
15 Dec 2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction
  Behaviors
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors
Haibin Zheng
Minying Ma
Jinyin Chen
Haiyang Xiong
Zhijun Yang
17
9
0
26 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
20
2
0
25 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or
  Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng
Edward W. Huang
Nikhil S. Rao
S. Katariya
Zhangyang Wang
Karthik Subbian
29
62
0
08 Nov 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
13
49
0
24 Oct 2021
Topologically Regularized Data Embeddings
Topologically Regularized Data Embeddings
R. Vandaele
Bo Kang
Jefrey Lijffijt
T. D. Bie
Yvan Saeys
13
9
0
18 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri
Philip E. Davis
P. Subedi
M. Parashar
GNN
28
1
0
13 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
37
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
18
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
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