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DeepWalk: Online Learning of Social Representations
v1v2 (latest)

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
ArXiv (abs)PDFHTML

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,466 papers shown
Title
Towards Graph Foundation Models: A Transferability Perspective
Yansen Wang
Wenqi Fan
Suhang Wang
Yao Ma
88
1
0
13 Mar 2025
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Andreas Peintner
Marta Moscati
Emilia Parada-Cabaleiro
Markus Schedl
Eva Zangerle
GNN
155
3
0
13 Mar 2025
A quantum annealing approach to graph node embedding
Hristo N. Djidjev
GNN
180
1
0
08 Mar 2025
The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks
Nikolaos Nakis
Chrysoula Kosma
Anastasia Brativnyk
Michail Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
102
0
0
05 Mar 2025
Leap: Inductive Link Prediction via Learnable TopologyAugmentation
Ahmed E. Samy
Zekarias T. Kefato
Sarunas Girdzijauskas
95
0
0
05 Mar 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis
Niels Raunkjær Holm
Andreas Lyhne Fiehn
Morten Mørup
121
0
0
03 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
100
0
0
01 Mar 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TSAI4CE
83
2
0
28 Feb 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Tianyi Ma
Yiyue Qian
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
98
3
0
28 Feb 2025
Joint Optimal Transport and Embedding for Network Alignment
Joint Optimal Transport and Embedding for Network Alignment
Qi Yu
Zhichen Zeng
Yuchen Yan
Lei Ying
R. Srikant
Hanghang Tong
OT
529
3
0
26 Feb 2025
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
Yuhao Zheng
Chenghua Gong
Rui Sun
Juyuan Zhang
Liming Pan
Linyuan Lv
146
0
0
25 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai
Muberra Ozmen
Thomas Markovich
AI4CE
92
0
0
24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae
Hoyoon Byun
Changdae Oh
Yoon-Sik Cho
Kyungwoo Song
GNN
270
3
0
24 Feb 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
126
0
0
23 Feb 2025
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
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
111
1
0
22 Feb 2025
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao
Zheyu Chen
Zhenying He
Yinan Jing
Kai Zhang
Xiaotao Wang
120
3
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
Evaluating link prediction: New perspectives and recommendations
Evaluating link prediction: New perspectives and recommendations
Bhargavi Kalyani I
A Rama Prasad Mathi
Niladri Sett
113
0
0
18 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
161
2
0
14 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie
Yiran Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
127
3
0
12 Feb 2025
Revisiting Dynamic Graph Clustering via Matrix Factorization
Revisiting Dynamic Graph Clustering via Matrix Factorization
Dongyuan Li
Satoshi Kosugi
Ying Zhang
Manabu Okumura
Feng Xia
Xue Liu
122
2
0
10 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han
Jingyuan Wang
Y. Wang
Xie Yu
Hao Lin
Chao Li
Junjie Wu
AI4TS
118
1
0
08 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
Shengda Zhuo
Jiwang Fang
Hongguang Lin
Yin Tang
Min Chen
Changdong Wang
Shuqiang Huang
101
0
0
04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos I. Kanatsoulis
Evelyn Choi
Stephanie Jegelka
Jure Leskovec
Alejandro Ribeiro
160
5
0
03 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed
Andrew Cheng
Qiang Ye
Q. Cheng
GNN
131
0
0
01 Feb 2025
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
Xudong Fan
Jürgen Hackl
144
0
0
01 Feb 2025
Information Discovery in e-Commerce
Information Discovery in e-Commerce
Zhaochun Ren
Xiangnan He
D. Yin
Maarten de Rijke
108
9
0
28 Jan 2025
Deep Modularity Networks with Diversity--Preserving Regularization
Deep Modularity Networks with Diversity--Preserving Regularization
Yasmin Salehi
D. Giannacopoulos
68
0
0
23 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling
Learning Graph Node Embeddings by Smooth Pair Sampling
Konstantin Kutzkov
83
0
0
22 Jan 2025
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
Junliang Luo
Xue Liu
74
0
0
21 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
Qingbin Liu
102
0
0
21 Jan 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
Eugenio Borzone
Leandro Di Persia
Matias Gerard
SSL
145
0
0
21 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
99
1
0
17 Jan 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Qing Cui
Fuzhen Zhuang
248
2
0
17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
384
0
0
10 Jan 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
Introduction to Graph Neural Networks: A Starting Point for Machine
  Learning Engineers
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers
James H. Tanis
Chris Giannella
Adrian V. Mariano
AI4CEGNNFaMLPINN
133
0
0
27 Dec 2024
Context-Aware Deep Learning for Multi Modal Depression Detection
Context-Aware Deep Learning for Multi Modal Depression Detection
Genevieve Lam
Huang Dongyan
Weisi Lin
85
82
0
26 Dec 2024
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Jiawen Qin
Pengfeng Huang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Jianxin Li
84
0
0
23 Dec 2024
A Generalizable Anomaly Detection Method in Dynamic Graphs
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
166
1
0
21 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
185
15
0
19 Dec 2024
Two Layer Walk: A Community-Aware Graph Embedding
Two Layer Walk: A Community-Aware Graph Embedding
He Yu
Qingbin Liu
103
0
0
17 Dec 2024
GNN Applied to Ego-nets for Friend Suggestions
GNN Applied to Ego-nets for Friend Suggestions
Evgeny Zamyatin
GNN
144
0
0
16 Dec 2024
Representation learning of dynamic networks
Representation learning of dynamic networks
Haixu Wang
Jiguo Cao
Jian Pei
94
0
0
15 Dec 2024
Graph Similarity Computation via Interpretable Neural Node Alignment
Graph Similarity Computation via Interpretable Neural Node Alignment
Jingjing Wang
Hongjie Zhu
H. Xie
F. Wang
Xiaoliang Xu
Yuxiang Wang
139
0
0
13 Dec 2024
Adapting Unsigned Graph Neural Networks for Signed Graphs: A Few-Shot
  Prompt Tuning Approach
Adapting Unsigned Graph Neural Networks for Signed Graphs: A Few-Shot Prompt Tuning Approach
Zian Zhai
Sima Qing
Xiaoyang Wang
Wenjie Zhang
122
0
0
11 Dec 2024
GETAE: Graph information Enhanced deep neural NeTwork ensemble
  ArchitecturE for fake news detection
GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection
Ciprian-Octavian Truică
Elena Simona Apostol
Marius Marogel
Adrian Paschke
GNN
123
0
0
02 Dec 2024
A Versatile Influence Function for Data Attribution with
  Non-Decomposable Loss
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
Junwei Deng
Weijing Tang
Jiaqi W. Ma
TDI
221
0
0
02 Dec 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral
  Clustering Perspective
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
Yujie Mo
Zhihe Lu
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
157
5
0
01 Dec 2024
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