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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 / 2,447 papers shown
Title
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
30
9
0
26 Nov 2021
Reinforcement Learning based Path Exploration for Sequential Explainable
  Recommendation
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Yicong Li
Hongxu Chen
Yile Li
Lin Li
Philip S. Yu
Guandong Xu
35
15
0
24 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on
  Graphs with Missing Node Features
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
Emanuele Rossi
Henry Kenlay
Maria I. Gorinova
B. Chamberlain
Xiaowen Dong
M. Bronstein
48
89
0
23 Nov 2021
Link Analysis meets Ontologies: Are Embeddings the Answer?
Link Analysis meets Ontologies: Are Embeddings the Answer?
Sebastian Mežnar
Matej Bevec
Nada Lavrac
Blaž Škrlj
32
1
0
23 Nov 2021
Towards Improving Embedding Based Models of Social Network Alignment via
  Pseudo Anchors
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Zihan Yan
Li Liu
Xin Li
William K. Cheung
Youmin Zhang
Qun Liu
Guoyin Wang
29
7
0
22 Nov 2021
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
David Bayani
AI4TS
17
1
0
22 Nov 2021
Network representation learning: A macro and micro view
Network representation learning: A macro and micro view
Xueyi Liu
Jie Tang
GNN
AI4TS
33
23
0
21 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
38
24
0
20 Nov 2021
Network Generation with Differential Privacy
Network Generation with Differential Privacy
Xu Zheng
Nicholas McCarthy
Jer Hayes
30
2
0
17 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
14
0
0
17 Nov 2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved
  Code Summarization
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
Junyan Cheng
Iordanis Fostiropoulos
Barry W. Boehm
18
9
0
17 Nov 2021
Learning to Evolve on Dynamic Graphs
Learning to Evolve on Dynamic Graphs
Xintao Xiang
Tiancheng Huang
Donglin Wang
28
4
0
13 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
48
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
48
27
0
10 Nov 2021
Topic-aware latent models for representation learning on networks
Topic-aware latent models for representation learning on networks
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
BDL
32
5
0
10 Nov 2021
Wasserstein Adversarially Regularized Graph Autoencoder
Wasserstein Adversarially Regularized Graph Autoencoder
Huidong Liang
Junbin Gao
GNN
GAN
29
3
0
09 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning
Inferential SIR-GN: Scalable Graph Representation Learning
Janet Layne
Edoardo Serra
GNN
26
9
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
OOD
AAML
30
50
0
08 Nov 2021
A Probit Tensor Factorization Model For Relational Learning
A Probit Tensor Factorization Model For Relational Learning
Ye Liu
Rui Song
Wenbin Lu
Yanghua Xiao
15
1
0
06 Nov 2021
SocialVec: Social Entity Embeddings
SocialVec: Social Entity Embeddings
Nir Lotan
Einat Minkov
12
1
0
05 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph
  Parameters
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara
Hoang NT
46
2
0
05 Nov 2021
Hard Negative Sampling via Regularized Optimal Transport for Contrastive
  Representation Learning
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
Ruijie Jiang
Prakash Ishwar
Shuchin Aeron
SSL
16
6
0
04 Nov 2021
Community detection using low-dimensional network embedding algorithms
Community detection using low-dimensional network embedding algorithms
Aman Barot
S. Bhamidi
Souvik Dhara
20
8
0
04 Nov 2021
Improving Peer Assessment with Graph Convolutional Networks
Improving Peer Assessment with Graph Convolutional Networks
Alireza A. Namanloo
Julie Thorpe
Amirali Salehi-Abari
GNN
30
2
0
04 Nov 2021
Learning Multiresolution Matrix Factorization and its Wavelet Networks
  on Graphs
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
Truong-Son Hy
Risi Kondor
52
1
0
02 Nov 2021
Graph Embedding with Hierarchical Attentive Membership
Graph Embedding with Hierarchical Attentive Membership
Lu Lin
Ethan Blaser
Hongning Wang
42
10
0
31 Oct 2021
Personal thermal comfort models using digital twins: Preference
  prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Mahmoud Abdelrahman
A. Chong
Clayton Miller
22
66
0
30 Oct 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
30
3
0
29 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination
  Therapy
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
28
19
0
28 Oct 2021
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Hanghang Tong
36
58
0
28 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning
GenURL: A General Framework for Unsupervised Representation Learning
Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD
3DGS
OffRL
54
9
0
27 Oct 2021
Node-wise Localization of Graph Neural Networks
Node-wise Localization of Graph Neural Networks
Zemin Liu
Yuan Fang
Chenghao Liu
Guosheng Lin
30
25
0
27 Oct 2021
Unbiased Graph Embedding with Biased Graph Observations
Unbiased Graph Embedding with Biased Graph Observations
Nan Wang
Lu Lin
Jundong Li
Hongning Wang
CML
27
36
0
26 Oct 2021
Nested Graph Neural Networks
Nested Graph Neural Networks
Muhan Zhang
Pan Li
44
165
0
25 Oct 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
26
50
0
24 Oct 2021
Drug Similarity and Link Prediction Using Graph Embeddings on Medical
  Knowledge Graphs
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs
Prakhar Gurawa
Matthias Nickles
11
3
0
22 Oct 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and
  Identity Mapping
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping
Gayan K. Kulatilleke
Marius Portmann
Ryan K. L. Ko
Shekhar S. Chandra
28
9
0
21 Oct 2021
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Maximilian Krahn
Florian Bernard
Vladislav Golyanik
18
1
0
21 Oct 2021
Boosting Graph Embedding on a Single GPU
Boosting Graph Embedding on a Single GPU
Amro Alabsi Aljundi
Taha Atahan Akyildiz
K. Kaya
GNN
23
0
0
19 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
29
10
0
18 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs
Beltrami Flow and Neural Diffusion on Graphs
B. Chamberlain
J. Rowbottom
D. Eynard
Francesco Di Giovanni
Xiaowen Dong
M. Bronstein
AI4CE
34
81
0
18 Oct 2021
Topologically Regularized Data Embeddings
Topologically Regularized Data Embeddings
R. Vandaele
Bo Kang
Jefrey Lijffijt
T. D. Bie
Yvan Saeys
21
9
0
18 Oct 2021
POLE: Polarized Embedding for Signed Networks
POLE: Polarized Embedding for Signed Networks
Zexi Huang
A. Silva
Ambuj K. Singh
24
36
0
17 Oct 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning
Heterogeneous Graph-Based Multimodal Brain Network Learning
Gen Shi
Yifan Zhu
Wenjin Liu
Quanming Yao
Xia Li
42
7
0
16 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku
Jisung Yoon
I. Constantino
Yong-Yeol Ahn
CML
50
23
0
14 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction
  to Node Embedding
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou
Ling Liu
Wenqi Wei
Jianxi Fan
AI4TS
55
73
0
14 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri
Philip E. Davis
P. Subedi
M. Parashar
GNN
41
1
0
13 Oct 2021
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced
  Network Sampling
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
Ling Zhan
Tao Jia
41
8
0
12 Oct 2021
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Jonathan Bryan
Pablo Moriano
21
7
0
11 Oct 2021
CoRGi: Content-Rich Graph Neural Networks with Attention
CoRGi: Content-Rich Graph Neural Networks with Attention
Jooyeon Kim
A. Lamb
Simon Woodhead
Simon L. Peyton Jones
Cheng Zheng
Miltiadis Allamanis
44
6
0
10 Oct 2021
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