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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
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
146
314
0
03 Feb 2018
Complex Network Classification with Convolutional Neural Network
Complex Network Classification with Convolutional Neural Network
Ruyue Xin
Jiang Zhang
Yi Shao
GNN
82
111
0
02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
213
1,522
0
30 Jan 2018
HONE: Higher-Order Network Embeddings
HONE: Higher-Order Network Embeddings
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
Anup B. Rao
Yasin Abbasi-Yadkori
98
22
0
28 Jan 2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Yu Shi
Fangqiu Han
Xinwei He
Xinran He
Carl Yang
Jie Luo
Jiawei Han
3DV
90
56
0
19 Jan 2018
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised
  Pre-training and Multi-Task Learning
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
Karan Aggarwal
Shafiq Joty
L. Fernández-Luque
Jaideep Srivastava
74
4
0
27 Dec 2017
Learning and Transferring IDs Representation in E-commerce
Learning and Transferring IDs Representation in E-commerce
Kui Zhao
Yuechuan Li
Zhaoqian Shuai
Cheng Yang
41
2
0
22 Dec 2017
Multiview Deep Learning for Predicting Twitter Users' Location
Multiview Deep Learning for Predicting Twitter Users' Location
T. Do
Duc Minh Nguyen
Evaggelia Tsiligianni
Bruno Cornelis
Nikos Deligiannis
63
36
0
21 Dec 2017
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNNAI4TS
133
625
0
04 Dec 2017
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment
  Link Prediction
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Hongwei Wang
Fuzheng Zhang
Min Hou
Xing Xie
Minyi Guo
Qi Liu
92
330
0
03 Dec 2017
Joint Topic-Semantic-aware Social Recommendation for Online Voting
Joint Topic-Semantic-aware Social Recommendation for Online Voting
Hongwei Wang
Jia Wang
Miao Zhao
Jiannong Cao
Minyi Guo
70
30
0
03 Dec 2017
Representation Learning for Scale-free Networks
Representation Learning for Scale-free Networks
Rui Feng
Yang Yang
Wenjie Hu
Leilei Gan
Yueting Zhuang
GNN
62
51
0
29 Nov 2017
Semi-supervised learning of hierarchical representations of molecules
  using neural message passing
Semi-supervised learning of hierarchical representations of molecules using neural message passing
Hai V. Nguyen
S. Maeda
Kenta Oono
71
13
0
28 Nov 2017
Topological Recurrent Neural Network for Diffusion Prediction
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang
V. Zheng
Zemin Liu
Kevin Chen-Chuan Chang
DiffMGNN
99
174
0
28 Nov 2017
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
Hongwei Wang
Jia Wang
Jialin Wang
Miao Zhao
Weinan Zhang
Fuzheng Zhang
Xing Xie
Minyi Guo
GNNGAN
121
627
0
22 Nov 2017
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNNGAN
94
223
0
21 Nov 2017
Mandolin: A Knowledge Discovery Framework for the Web of Data
Mandolin: A Knowledge Discovery Framework for the Web of Data
Tommaso Soru
Diego Esteves
Edgard Marx
A. N. Ngomo
49
1
0
03 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
159
809
0
01 Nov 2017
Stochastic Training of Graph Convolutional Networks with Variance
  Reduction
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Jianfei Chen
Jun Zhu
Le Song
GNNBDL
99
31
0
29 Oct 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
141
309
0
28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNNDiffM
102
394
0
27 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
Alexander A. Alemi
GNN
77
32
0
26 Oct 2017
Inductive Representation Learning in Large Attributed Graphs
Inductive Representation Learning in Large Attributed Graphs
Nesreen Ahmed
Ryan A. Rossi
R. Zhou
J. B. Lee
Xiangnan Kong
Theodore L. Willke
Hoda Eldardiry
87
4
0
25 Oct 2017
Community Aware Random Walk for Network Embedding
Community Aware Random Walk for Network Embedding
M. Keikha
M. Rahgozar
M. Asadpour
54
75
0
14 Oct 2017
Learning Graph Representations with Embedding Propagation
Learning Graph Representations with Embedding Propagation
Alberto García-Durán
Mathias Niepert
GNNSSL
113
168
0
09 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE,
  and node2vec
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
137
922
0
09 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
107
133
0
28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
159
1,795
0
22 Sep 2017
An Attention-based Collaboration Framework for Multi-View Network
  Representation Learning
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu
Jian Tang
Jingbo Shang
Xiang Ren
Ming Zhang
Jiawei Han
GNN
76
168
0
19 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
267
1,981
0
17 Sep 2017
A Framework for Generalizing Graph-based Representation Learning Methods
A Framework for Generalizing Graph-based Representation Learning Methods
Nesreen Ahmed
Ryan A. Rossi
R. Zhou
J. B. Lee
Xiangnan Kong
Theodore L. Willke
Hoda Eldardiry
90
20
0
14 Sep 2017
Semi-Supervised Instance Population of an Ontology using Word Vector
  Embeddings
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings
Vindula Jayawardana
Dimuthu Lakmal
Nisansa de Silva
A. Perera
Keet Sugathadasa
Buddhi Ayesha
M. Perera
56
24
0
09 Sep 2017
Network Vector: Distributed Representations of Networks with Global
  Context
Network Vector: Distributed Representations of Networks with Global Context
Hao Wu
Kristina Lerman
23
3
0
07 Sep 2017
Practical Attacks Against Graph-based Clustering
Practical Attacks Against Graph-based Clustering
Yizheng Chen
Yacin Nadji
Athanasios Kountouras
Fabian Monrose
R. Perdisci
M. Antonakakis
N. Vasiloglou
AAML
68
87
0
29 Aug 2017
walk2friends: Inferring Social Links from Mobility Profiles
walk2friends: Inferring Social Links from Mobility Profiles
Michael Backes
Mathias Humbert
Jun Pang
Yang Zhang
AAML
85
116
0
28 Aug 2017
Neural Network-based Graph Embedding for Cross-Platform Binary Code
  Similarity Detection
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu
Chang-rui Liu
Qian Feng
Heng Yin
Le Song
Basel Alomair
GNN
127
593
0
22 Aug 2017
Induction of Decision Trees based on Generalized Graph Queries
Induction of Decision Trees based on Generalized Graph Queries
Pedro Almagro Blanco
Fernando Sancho-Caparrini
AI4CE
25
0
0
18 Aug 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
146
7
0
10 Aug 2017
graph2vec: Learning Distributed Representations of Graphs
graph2vec: Learning Distributed Representations of Graphs
A. Narayanan
Mahinthan Chandramohan
R. Venkatesan
Lihui Chen
Yang Liu
Shantanu Jaiswal
GNN
125
748
0
17 Jul 2017
Predicting multicellular function through multi-layer tissue networks
Predicting multicellular function through multi-layer tissue networks
Marinka Zitnik
J. Leskovec
120
544
0
14 Jul 2017
DocTag2Vec: An Embedding Based Multi-label Learning Approach for
  Document Tagging
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging
Sheng Chen
Akshay Soni
Aasish Pappu
Yashar Mehdad
VLM3DV
68
33
0
14 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
199
649
0
12 Jul 2017
Efficient Correlated Topic Modeling with Topic Embedding
Efficient Correlated Topic Modeling with Topic Embedding
Junxian He
Zhiting Hu
Taylor Berg-Kirkpatrick
Ying Huang
Eric Xing
70
48
0
01 Jul 2017
Deriving a Representative Vector for Ontology Classes with Instance Word
  Vector Embeddings
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
Vindula Jayawardana
Dimuthu Lakmal
Nisansa de Silva
A. Perera
Keet Sugathadasa
Buddhi Ayesha
43
33
0
08 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
828
15,440
0
07 Jun 2017
Attributed Network Embedding for Learning in a Dynamic Environment
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li
Harsh Dani
Helen Zhou
Jiliang Tang
Yi-Ju Chang
Huan Liu
86
370
0
06 Jun 2017
Wikipedia Vandal Early Detection: from User Behavior to User Embedding
Wikipedia Vandal Early Detection: from User Behavior to User Embedding
Shuhan Yuan
Panpan Zheng
Xintao Wu
Yang Xiang
KELM
61
21
0
03 Jun 2017
Neural Embeddings of Graphs in Hyperbolic Space
Neural Embeddings of Graphs in Hyperbolic Space
B. Chamberlain
J. Clough
M. Deisenroth
GNN
72
168
0
29 May 2017
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
157
1,315
0
22 May 2017
Learning Edge Representations via Low-Rank Asymmetric Projections
Learning Edge Representations via Low-Rank Asymmetric Projections
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
107
76
0
16 May 2017
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