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  4. Cited By
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE,
  and node2vec
v1v2v3v4 (latest)

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

9 October 2017
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
ArXiv (abs)PDFHTML

Papers citing "Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec"

50 / 187 papers shown
Title
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
Tuan-Anh Yang
Truong-Son Hy
Phuong D. Dao
85
0
0
22 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
N. Gabriel
N. Johnson
George Em Karniadakis
AI4CE
129
0
0
21 Feb 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
Sen Zhang
Qingqing Ye
Haibo Hu
102
0
0
08 Jan 2025
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
Quang P.M. Pham
Khoi T.N. Nguyen
Lan C. Ngo
Dezhen Song
Truong Do
Truong-Son Hy
3DPC
143
2
0
15 Nov 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and
  LightGCN for Link Prediction
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction
Haoxin Liu
34
0
0
26 Oct 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
  Networks
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
Dongrui Fan
Xiaoyang Lin
Renchi Yang
Hongtao Wang
136
2
0
08 Jun 2024
Time to Cite: Modeling Citation Networks using the Dynamic Impact
  Single-Event Embedding Model
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
Nikolaos Nakis
Abdulkadir Çelikkanat
Louis Boucherie
Sune Lehmann
Morten Morup
40
0
0
28 Feb 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
Jingtao Ding
Chang Liu
Y. Zheng
Yunke Zhang
Zihan Yu
...
Hongyi Chen
J. Piao
Huandong Wang
Jiazhen Liu
Yong Li
AI4CE
93
12
0
23 Feb 2024
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for
  Influence Maximization in Social Networks
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks
Yuxin Zuo
Haojia Sun
Yongyi Hu
Jianxiong Guo
Xiaofeng Gao
58
1
0
18 Nov 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics
How Graph Neural Networks Learn: Lessons from Training Dynamics
Chenxiao Yang
Qitian Wu
David Wipf
Ruoyu Sun
Junchi Yan
AI4CEGNN
76
1
0
08 Oct 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed
  Integer Weighted Networks
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Nikolaos Nakis
Abdulkadir Çelikkanat
Morten Mørup
48
0
0
29 Aug 2023
Randomized Schur Complement Views for Graph Contrastive Learning
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
133
2
0
06 Jun 2023
Self-Supervised Temporal Graph learning with Temporal and Structural
  Intensity Alignment
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
Meng Liu
K. Liang
Bin Xiao
Wenxuan Tu
Sihang Zhou
Xihong Yang
Xinwang Liu
Yue Liu
110
72
0
15 Feb 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
116
29
0
11 Feb 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
85
21
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
127
0
0
04 Dec 2022
Graph Summarization via Node Grouping: A Spectral Algorithm
Graph Summarization via Node Grouping: A Spectral Algorithm
Arpit Merchant
M. Mathioudakis
Yanhao Wang
47
3
0
08 Nov 2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Sudhanshu Chanpuriya
Ryan Rossi
Sungchul Kim
Tong Yu
Jane Hoffswell
Nedim Lipka
Shunan Guo
Cameron Musco
AI4TS
134
10
0
30 Sep 2022
Trading off Quality for Efficiency of Community Detection: An Inductive
  Method across Graphs
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin
Chao Zhang
Bo Bai
Gong Zhang
Dit-Yan Yeung
68
2
0
29 Sep 2022
A Systematic Evaluation of Node Embedding Robustness
A Systematic Evaluation of Node Embedding Robustness
Alexandru Mara
Jefrey Lijffijt
Stephan Günnemann
T. D. Bie
AAML
78
0
0
16 Sep 2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
Simiao Zuo
Haoming Jiang
Qingyu Yin
Xianfeng Tang
Bing Yin
Tuo Zhao
63
0
0
15 Sep 2022
A flexible PageRank-based graph embedding framework closely related to
  spectral eigenvector embeddings
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings
Disha Shur
Yufan Huang
D. Gleich
65
1
0
22 Jul 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via
  Diffusion on Directed Graphs
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs
Ciwan Ceylan
Kambiz Ghoorchian
Danica Kragic
49
1
0
20 Jul 2022
Simplifying Clustering with Graph Neural Networks
Simplifying Clustering with Graph Neural Networks
F. Bianchi
74
11
0
18 Jul 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link
  Prediction
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun
Seoyoon Kim
Junhyun Lee
Jaewoo Kang
Hyunwoo J. Kim
GNN
89
121
0
09 Jun 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
72
4
0
28 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global
  and Local Spectral Embedding Methods
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero
Yann LeCun
SSL
152
135
0
23 May 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
Yu Zhang
Yu Meng
Xuan Wang
Sheng Wang
Jiawei Han
165
13
0
04 May 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
151
5
0
18 Apr 2022
TigerLily: Finding drug interactions in silico with the Graph
TigerLily: Finding drug interactions in silico with the Graph
Benedek Rozemberczki
GNN
62
0
0
18 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings
Finding MNEMON: Reviving Memories of Node Embeddings
Yun Shen
Yufei Han
Zhikun Zhang
Min Chen
Tingyue Yu
Michael Backes
Yang Zhang
Gianluca Stringhini
63
14
0
14 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph
  Representations
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nikolaos Nakis
Abdulkadir Çelikkanat
Sune Lehmann
Morten Mørup
95
7
0
12 Apr 2022
Unsupervised Network Embedding Beyond Homophily
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong
Guadalupe Gonzalez
Daniele Grattarola
Jun Pang
OODDGNN
113
6
0
21 Mar 2022
GRAND+: Scalable Graph Random Neural Networks
GRAND+: Scalable Graph Random Neural Networks
Wenzheng Feng
Yuxiao Dong
Tinglin Huang
Ziqi Yin
Xu Cheng
Evgeny Kharlamov
Jie Tang
GNN
78
44
0
12 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
151
115
0
01 Mar 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey
From Quantum Graph Computing to Quantum Graph Learning: A Survey
Yehui Tang
Junchi Yan
Hancock Edwin
GNN
104
9
0
19 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNNAI4CE
86
56
0
18 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Qingquan Song
Jundong Li
Helen Zhou
70
21
0
13 Feb 2022
Learning Stance Embeddings from Signed Social Graphs
Learning Stance Embeddings from Signed Social Graphs
John N. Pougué-Biyong
A. Gupta
A. Haghighi
Ahmed El-Kishky
107
20
0
27 Jan 2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks
  and Matrix Factorization
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization
B. Liu
D. Papadopoulos
Fragkiskos D. Malliaros
Grigorios Tsoumakas
A. Papadopoulos
70
8
0
24 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation
  Learning: A Graph Information Bottleneck Perspective
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
60
5
0
21 Jan 2022
Classic Graph Structural Features Outperform Factorization-Based Graph
  Embedding Methods on Community Labeling
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling
Andrew Stolman
Caleb C. Levy
C. Seshadhri
Aneesh Sharma
GNN
74
12
0
20 Jan 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
96
0
0
05 Jan 2022
PerCQA: Persian Community Question Answering Dataset
PerCQA: Persian Community Question Answering Dataset
Naghme Jamali
Yadollah Yaghoobzadeh
H. Faili
47
8
0
25 Dec 2021
Network representation learning: A macro and micro view
Network representation learning: A macro and micro view
Xueyi Liu
Jie Tang
GNNAI4TS
96
23
0
21 Nov 2021
Transformation of Node to Knowledge Graph Embeddings for Faster Link
  Prediction in Social Networks
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
Archit Parnami
Mayur Deshpande
Anant Kumar Mishra
Minwoo Lee
31
0
0
17 Nov 2021
Implicit SVD for Graph Representation Learning
Implicit SVD for Graph Representation Learning
Sami Abu-El-Haija
Hesham Mostafa
Marcel Nassar
V. Crespi
Greg Ver Steeg
Aram Galstyan
74
5
0
11 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Amur Ghose
Vincent Zhang
Yingxue Zhang
Dong Li
Wulong Liu
Mark Coates
85
31
0
10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning
Inferential SIR-GN: Scalable Graph Representation Learning
Janet Layne
Edoardo Serra
GNN
134
10
0
08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of
  Graph Machine Learning
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OODAAML
84
51
0
08 Nov 2021
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