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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 / 2,636 papers shown
Title
Graph Node Embeddings using Domain-Aware Biased Random Walks
Graph Node Embeddings using Domain-Aware Biased Random Walks
Sourav Mukherjee
Tim Oates
Ryan Wright
24
1
0
08 Aug 2019
Continuous Graph Flow
Continuous Graph Flow
Zhiwei Deng
Megha Nawhal
Lili Meng
Greg Mori
66
3
0
07 Aug 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
101
764
0
03 Aug 2019
Cross-domain Network Representations
Cross-domain Network Representations
Shan Xue
Jie Lu
Guangquan Zhang
92
16
0
01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
240
873
0
31 Jul 2019
Soccer Team Vectors
Soccer Team Vectors
Robert Muller
Stefan Langer
Fabian Ritz
Christoph Roch
Steffen Illium
Claudia Linnhoff-Popien
22
0
0
30 Jul 2019
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network
  Embedding
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
Chengbin Hou
Han Zhang
Ke Tang
Shan He
78
7
0
27 Jul 2019
Node Attribute Generation on Graphs
Node Attribute Generation on Graphs
Xu Chen
Siheng Chen
Huangjie Zheng
Jiangchao Yao
Kenan Cui
Ya Zhang
Ivor W. Tsang
47
2
0
23 Jul 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and
  Classification
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng
Jiawei Zhang
GNN
76
19
0
22 Jul 2019
Multi-Modal Adversarial Autoencoders for Recommendations of Citations
  and Subject Labels
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
Lukas Galke
Florian Mai
Iacopo Vagliano
A. Scherp
39
25
0
22 Jul 2019
Differentially Private Link Prediction With Protected Connections
Differentially Private Link Prediction With Protected Connections
A. De
Soumen Chakrabarti
87
2
0
20 Jul 2019
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted
  Sampling
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling
Pedro Almagro Blanco
Fernando Sancho-Caparrini
30
1
0
20 Jul 2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical
  Knowledge Base for Healthcare Analytics
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Khushbu Agarwal
T. Eftimov
Raghavendra Addanki
Sutanay Choudhury
S. Tamang
R. Rallo
99
24
0
19 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing
DeepDrawing: A Deep Learning Approach to Graph Drawing
Yong Wang
Zhihua Jin
Qianwen Wang
Weiwei Cui
Tengfei Ma
Huamin Qu
108
56
0
17 Jul 2019
hood2vec: Identifying Similar Urban Areas Using Mobility Networks
hood2vec: Identifying Similar Urban Areas Using Mobility Networks
Xin Liu
K. Pelechrinis
Alexandros Labrinidis
28
2
0
17 Jul 2019
Embedding-based Silhouette Community Detection
Embedding-based Silhouette Community Detection
Blaž Škrlj
Jan Kralj
Nada Lavrac
79
22
0
17 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions
DeepTrax: Embedding Graphs of Financial Transactions
C. Bayan Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Antonia Gogoglou
Keegan E. Hines
AIFinGNN
97
46
0
16 Jul 2019
Mercem: Method Name Recommendation Based on Call Graph Embedding
Mercem: Method Name Recommendation Based on Call Graph Embedding
Hiroshi Yonai
Yasuhiro Hayase
H. Kitagawa
67
15
0
12 Jul 2019
Towards Probabilistic Generative Models Harnessing Graph Neural Networks
  for Disease-Gene Prediction
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction
Vikash Singh
Pietro Lio
AI4CE
60
12
0
12 Jul 2019
Time2Vec: Learning a Vector Representation of Time
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi
Rishab Goel
Sepehr Eghbali
J. Ramanan
Jaspreet Sahota
Sanjay Thakur
Stella Wu
Cathal Smyth
Pascal Poupart
Marcus A. Brubaker
AI4TS
89
354
0
11 Jul 2019
Label-Aware Graph Convolutional Networks
Label-Aware Graph Convolutional Networks
Hao Chen
Yue Xu
Lu Wang
Dijun Luo
Wenbing Huang
Senzhang Wang
Peng He
Zhoujun Li
74
8
0
10 Jul 2019
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial
  Networks
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks
Sean Bin Yang
B. Yang
22
3
0
09 Jul 2019
Network Embedding: on Compression and Learning
Network Embedding: on Compression and Learning
Esra Akbas
M. E. Aktas
GNN
52
9
0
05 Jul 2019
Interpretable Feature Learning in Multivariate Big Data Analysis for
  Network Monitoring
Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
J. Camacho
K. Wasielewska
R. Bro
D. Kotz
51
3
0
05 Jul 2019
Graph Embeddings at Scale
Graph Embeddings at Scale
C. Bayan Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Saurabh Nagrecha
Keegan E. Hines
GNN
67
4
0
03 Jul 2019
From Node Embedding To Community Embedding : A Hyperbolic Approach
From Node Embedding To Community Embedding : A Hyperbolic Approach
Thomas Gerald
Hadi Zaatiti
H. Hajri
Nicolas Baskiotis
Olivier Schwander
60
3
0
02 Jul 2019
Unsupervised Adversarial Graph Alignment with Graph Embedding
Unsupervised Adversarial Graph Alignment with Graph Embedding
Chaoqi Chen
Weiping Xie
Tingyang Xu
Yu Rong
Wenbing Huang
Xinghao Ding
Yue Huang
Junzhou Huang
50
15
0
01 Jul 2019
One Embedding To Do Them All
One Embedding To Do Them All
Loveperteek Singh
S. Singh
Sagar Arora
Sumit Borar
42
15
0
28 Jun 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning
  on Large-scale Bipartite Graphs
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs
Chaoyang He
Tian Xie
Yu Rong
Wenbing Huang
Junzhou Huang
Xiang Ren
Cyrus Shahabi
47
5
0
27 Jun 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
J. Qiu
Yuxiao Dong
Hao Ma
Jun Yu Li
Chi Wang
Kuansan Wang
Jie Tang
63
173
0
26 Jun 2019
Signed Graph Attention Networks
Signed Graph Attention Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
GNN
111
124
0
26 Jun 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction
  Modeling
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
Guorui Zhou
Kailun Wu
Weijie Bian
Zhao Yang
Xiaoqiang Zhu
Kun Gai
59
6
0
25 Jun 2019
Dynamic Network Embeddings for Network Evolution Analysis
Dynamic Network Embeddings for Network Evolution Analysis
Chuanchang Chen
Y. Tao
Hai Lin
84
8
0
24 Jun 2019
Predicting kills in Game of Thrones using network properties
Predicting kills in Game of Thrones using network properties
J. Stavanja
Matej Klemen
Lovro Šubelj
58
5
0
22 Jun 2019
Simplex2Vec embeddings for community detection in simplicial complexes
Simplex2Vec embeddings for community detection in simplicial complexes
J. Billings
Mirko Hu
G. Lerda
Alexey N. Medvedev
Francesco Mottes
Adrian I. Onicas
Andrea Santoro
G. Petri
58
32
0
21 Jun 2019
ANAE: Learning Node Context Representation for Attributed Network
  Embedding
ANAE: Learning Node Context Representation for Attributed Network Embedding
Keting Cen
Huawei Shen
Jinhua Gao
Qi Cao
Bingbing Xu
Xueqi Cheng
GNN
84
1
0
20 Jun 2019
Regional based query in graph active learning
Regional based query in graph active learning
R. Abel
Y. Louzoun
GNN
72
6
0
20 Jun 2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
Shaosheng Cao
Xinxing Yang
Cen Chen
Jun Zhou
Xiaolong Li
Yuan Qi
78
59
0
18 Jun 2019
vGraph: A Generative Model for Joint Community Detection and Node
  Representation Learning
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun
Meng Qu
Jordan Hoffmann
Chin-Wei Huang
Jian Tang
BDL
137
92
0
18 Jun 2019
DISCO: Influence Maximization Meets Network Embedding and Deep Learning
DISCO: Influence Maximization Meets Network Embedding and Deep Learning
Hui Li
Mengting Xu
S. Bhowmick
Changsheng Sun
Zhongyuan Jiang
Jiangtao Cui
BDL
66
26
0
18 Jun 2019
Network Representation of Large-Scale Heterogeneous RNA Sequences with
  Integration of Diverse Multi-omics, Interactions, and Annotations Data
Network Representation of Large-Scale Heterogeneous RNA Sequences with Integration of Diverse Multi-omics, Interactions, and Annotations Data
Nhat Chau Tran
Jean X. Gao
19
1
0
17 Jun 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Andrey Kutuzov
M. Dorgham
Oleksiy Oliynyk
Chris Biemann
Sergey Petrakov
95
6
0
17 Jun 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted
  Personalized PageRank
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
Renchi Yang
Jieming Shi
Xiaokui Xiao
Yifan Yang
S. Bhowmick
138
66
0
17 Jun 2019
Embedding Biomedical Ontologies by Jointly Encoding Network Structure
  and Textual Node Descriptors
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
Sotiris Kotitsas
Dimitris Pappas
Ion Androutsopoulos
Ryan T. McDonald
Marianna Apidianaki
GNN
55
15
0
13 Jun 2019
Identifying Illicit Accounts in Large Scale E-payment Networks -- A
  Graph Representation Learning Approach
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach
D. Tam
Wing Cheong Lau
Bin Hu
Qiufang Ying
D. Chiu
Hong Liu
GNN
86
21
0
13 Jun 2019
Interpretable ICD Code Embeddings with Self- and Mutual-Attention
  Mechanisms
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms
Dixin Luo
Hongteng Xu
Lawrence Carin
27
5
0
13 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational
  Information Maximization
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Pengfei Chen
Weiwen Liu
Chang-Yu Hsieh
Guangyong Chen
Shengyu Zhang
95
21
0
13 Jun 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
108
477
0
12 Jun 2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image
  Classification
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
62
2
0
12 Jun 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
100
333
0
12 Jun 2019
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