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DeepWalk: Online Learning of Social Representations

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
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Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,441 papers shown
Title
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
Anjali de Silva
Gang Chen
Hui Ma
Seyed Mohammad Nekooei
Xingquan Zuo
20
0
0
15 May 2025
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
19
0
0
15 May 2025
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu
Fangrui Wu
Rajput Ramiz Sharafat
Guangzhao Dai
Xiangbo Shu
21
0
0
14 May 2025
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu-Jie Zhang
James T. Kwok
36
0
0
13 May 2025
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
Lo Pang-Yun Ting
Yu-Hao Chiang
Yi-Tung Tsai
Hsu-Chao Lai
Kun-Ta Chuang
37
0
0
01 May 2025
Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction
Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction
Lefei Zhang
Xin Dong
Shuaibing Jia
Jun Zhang
29
0
0
01 May 2025
HetGL2R: Learning to Rank Critical Road Segments via Attributed Heterogeneous Graph Random Walks
HetGL2R: Learning to Rank Critical Road Segments via Attributed Heterogeneous Graph Random Walks
Ming Xu
Jinrong Xiang
Zilong Xie
Xiangfu Meng
27
0
0
27 Apr 2025
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
Siddharth Vishwanath
Jonathan Hehir
67
0
0
24 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Mao Wang
Tao Wu
Xingping Xian
Shaojie Qiao
Weina Niu
Canyixing Cui
34
0
0
23 Apr 2025
Heterogeneous networks in drug-target interaction prediction
Heterogeneous networks in drug-target interaction prediction
Mohammad Molaee
Nasrollah Moghadam Charkari
30
0
0
22 Apr 2025
Visualization Tasks for Unlabelled Graphs
Visualization Tasks for Unlabelled Graphs
Matt I. B. Oddo
Ryan Smith
Stephen Kobourov
Tamara Munzner
34
0
0
19 Apr 2025
Network Alignment
Network Alignment
R. Tang
Ziyun Yong
Shuyu Jiang
Xingshu Chen
Yong-Jin Liu
Yang Zhang
Gui-Quan Sun
Wei Wang
40
0
0
15 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
32
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
37
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
39
0
0
11 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
40
0
0
08 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
42
0
0
03 Apr 2025
Graph Attention for Heterogeneous Graphs with Positional Encoding
Graph Attention for Heterogeneous Graphs with Positional Encoding
Nikhil Shivakumar Nayak
GNN
58
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
31
0
0
02 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
46
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
59
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
52
0
0
29 Mar 2025
MFH: A Multi-faceted Heuristic Algorithm Selection Approach for Software Verification
MFH: A Multi-faceted Heuristic Algorithm Selection Approach for Software Verification
Jie Su
Liansai Deng
Cheng Wen
Rong Wang
Z. Ma
N. Zhang
Cong Tian
Zhenhua Duan
Shengchao Qin
31
0
0
28 Mar 2025
Learning to Represent Individual Differences for Choice Decision Making
Learning to Represent Individual Differences for Choice Decision Making
Yan-Ying Chen
Yue Weng
Alexandre L. S. Filipowicz
Rumen Iliev
Francine Chen
Shabnam Hakimi
Yanxia Zhang
Matthew Lee
Kent Lyons
Charlene C. Wu
53
0
0
27 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
42
0
0
27 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
39
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
37
0
0
21 Mar 2025
Diffusion-augmented Graph Contrastive Learning for Collaborative Filter
Diffusion-augmented Graph Contrastive Learning for Collaborative Filter
Fan Huang
Wei Wang
DiffM
72
0
0
20 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
63
0
0
16 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
50
0
0
14 Mar 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Aochuan Chen
Jia Li
72
0
0
14 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective
Yansen Wang
Wenqi Fan
Suhang Wang
Yao Ma
43
1
0
13 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
68
0
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
99
2
0
13 Mar 2025
A quantum annealing approach to graph node embedding
Hristo N. Djidjev
GNN
41
0
0
08 Mar 2025
Leap: Inductive Link Prediction via Learnable TopologyAugmentation
Ahmed E. Samy
Zekarias T. Kefato
Sarunas Girdzijauskas
59
0
0
05 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
59
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
75
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
43
0
0
01 Mar 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Tianyi Ma
Y. Qian
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
29
0
0
28 Feb 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TS
AI4CE
42
1
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
268
1
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
37
0
0
25 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
98
2
0
24 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
38
0
0
24 Feb 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
57
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
41
0
0
22 Feb 2025
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao
Z. Chen
Zhenying He
Yinan Jing
Kai Zhang
Xiaotao Wang
51
2
0
22 Feb 2025
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
44
1
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
54
0
0
21 Feb 2025
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