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node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

3 July 2016
Aditya Grover
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,627 papers shown
Title
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Kien X. Nguyen
Bao Bach
Ilya Safro
63
1
0
14 Apr 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
Qiwei Wang
Dandan Lin
Wenqing Lin
Ziming Wu
OffRL
117
0
0
13 Apr 2025
Academic Network Representation via Prediction-Sampling Incorporated Tensor Factorization
Academic Network Representation via Prediction-Sampling Incorporated Tensor Factorization
Chunyang Zhang
Xin Liao
Hao Wu
75
0
0
11 Apr 2025
Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs
Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs
My Le
Luana Ruiz
Souvik Dhara
75
0
0
11 Apr 2025
GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
Liu Shi
Tianwu Zhou
Wei Xu
Li-Yu Daisy Liu
Zhexin Cui
Shaoyi Liang
Haoxing Niu
Yichong Tian
Jianwei Guo
AI4TS
70
0
0
09 Apr 2025
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
Mingchen Li
Di Zhuang
Keyu Chen
Dumindu Samaraweera
Morris Chang
AAML
81
0
0
08 Apr 2025
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
66
0
0
03 Apr 2025
Research Paper Recommender System by Considering Users' Information Seeking Behaviors
Research Paper Recommender System by Considering Users' Information Seeking Behaviors
Zhelin Xu
Shuhei Yamamoto
Hideo Joho
104
0
0
03 Apr 2025
PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal
PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal
Renjie Liu
Haitian Jiang
Xiao Yan
Bo Tang
Jinyang Li
55
1
0
02 Apr 2025
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
TingJie Zhang
HaiLin Liu
76
1
0
01 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Jongha Lee
Taehyung Kwon
Heechan Moon
Kijung Shin
AI4TS
108
0
0
01 Apr 2025
ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities
ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities
Mario Heidrich
Jeffrey Heidemann
Rüdiger Buchkremer
Gonzalo Wandosell Fernández de Bobadilla
106
0
0
01 Apr 2025
Node Embeddings via Neighbor Embeddings
Node Embeddings via Neighbor Embeddings
Jan Niklas Böhm
Marius Keute
Alica Guzmán
Sebastian Damrich
Andrew Draganov
D. Kobak
GNN
118
0
0
31 Mar 2025
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
Bin Wang
Boyue Cui
Shiqu Chen
Xuan Wang
Yadong Wang
Junyi Li
78
0
0
29 Mar 2025
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
Sen Zhang
Qingqing Ye
Haibo Hu
Jianliang Xu
74
0
0
27 Mar 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen
Taotao Wang
Yixiang Fang
Yunyu Xiao
BDL
210
1
0
26 Mar 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
Yongqi Huang
Jitao Zhao
Dongxiao He
Di Jin
Yuxiao Huang
Zhen Wang
61
0
0
23 Mar 2025
Fast online node labeling with graph subsampling
Fast online node labeling with graph subsampling
Yushen Huang
Ertai Luo
Reza Babenezhad
Yifan Sun
72
0
0
21 Mar 2025
Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR
Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR
Shuheng Li
Jiayun Zhang
Xiaohan Fu
Xiyuan Zhang
Jingbo Shang
Rajesh K. Gupta
134
0
0
17 Mar 2025
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
Suchanuch Piriyasatit
Chaohao Yuan
Ercan Engin Kuruoglu
156
0
0
16 Mar 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Aochuan Chen
Jia Li
169
0
0
14 Mar 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
99
0
0
14 Mar 2025
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
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization
Haojia Zhu
Jiahui Jin
Dong Kan
Rouxi Shen
Ruize Wang
Xiangguo Sun
Jinghui Zhang
110
0
0
11 Mar 2025
A quantum annealing approach to graph node embedding
Hristo N. Djidjev
GNN
180
1
0
08 Mar 2025
Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction
Xihan Qin
Li Liao
81
0
0
04 Mar 2025
Fairness and/or Privacy on Social Graphs
Bartlomiej Surma
Michael Backes
Yang Zhang
123
0
0
03 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
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
Predicting Cascade Failures in Interdependent Urban Infrastructure Networks
Yinzhou Tang
J. Piao
Huandong Wang
Shaw Rajib
Yong Li
AI4CE
78
0
0
26 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
Stationary distribution of node2vec random walks on household models
Stationary distribution of node2vec random walks on household models
Lars Schroeder
Clara Stegehuis
OT
138
0
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
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
126
0
0
23 Feb 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
239
4
0
23 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
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
108
1
0
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Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
N. Gabriel
N. Johnson
George Em Karniadakis
AI4CE
129
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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
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MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure
MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure
Fatih Deniz
Mohamed Nabeel
Ting Yu
Issa M. Khalil
85
1
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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
159
2
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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
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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
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LRA-GNN: Latent Relation-Aware Graph Neural Network with Initial and Dynamic Residual for Facial Age Estimation
Yiping Zhang
Yuntao Shou
Wei Ai
Tao Meng
Keqin Li
CVBM
124
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EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
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Shengda Zhuo
Jiwang Fang
Hongguang Lin
Yin Tang
Min Chen
Changdong Wang
Shuqiang Huang
98
0
0
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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
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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
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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
134
0
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