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node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

3 July 2016
Aditya Grover
J. Leskovec
ArXivPDFHTML

Papers citing "node2vec: Scalable Feature Learning for Networks"

47 / 1,047 papers shown
Title
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNN
GAN
43
221
0
21 Nov 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
35
300
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
GNN
DiffM
30
386
0
27 Oct 2017
Learning Graph Representations with Embedding Propagation
Learning Graph Representations with Embedding Propagation
Alberto García-Durán
Mathias Niepert
GNN
SSL
29
167
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
32
132
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
53
1,782
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
24
167
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
58
1,967
0
17 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
27
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
16
3
0
07 Sep 2017
Semantic Preserving Embeddings for Generalized Graphs
Semantic Preserving Embeddings for Generalized Graphs
Pedro Almagro Blanco
Fernando Sancho-Caparrini
23
0
0
07 Sep 2017
walk2friends: Inferring Social Links from Mobility Profiles
walk2friends: Inferring Social Links from Mobility Profiles
Michael Backes
Mathias Humbert
Jun Pang
Yang Zhang
AAML
24
115
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
D. Song
GNN
24
577
0
22 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
33
7
0
10 Aug 2017
Graph Classification with 2D Convolutional Neural Networks
Graph Classification with 2D Convolutional Neural Networks
A. Tixier
Giannis Nikolentzos
Polykarpos Meladianos
Michalis Vazirgiannis
GNN
26
23
0
29 Jul 2017
Learning Rare Word Representations using Semantic Bridging
Learning Rare Word Representations using Semantic Bridging
Victor Prokhorov
Mohammad Taher Pilehvar
Dimitri Kartsaklis
Pietro Lio
Nigel Collier
3DV
24
5
0
24 Jul 2017
Predicting multicellular function through multi-layer tissue networks
Predicting multicellular function through multi-layer tissue networks
Marinka Zitnik
J. Leskovec
27
539
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
46
639
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
33
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
13
33
0
08 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
125
14,967
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
Xia Hu
Jiliang Tang
Yi-Ju Chang
Huan Liu
29
366
0
06 Jun 2017
Neural Embeddings of Graphs in Hyperbolic Space
Neural Embeddings of Graphs in Hyperbolic Space
B. Chamberlain
J. Clough
M. Deisenroth
GNN
21
167
0
29 May 2017
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
20
1,279
0
22 May 2017
Active Learning for Graph Embedding
Active Learning for Graph Embedding
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
GNN
44
97
0
15 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
35
1,720
0
08 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
33
365
0
20 Apr 2017
ENWalk: Learning Network Features for Spam Detection in Twitter
ENWalk: Learning Network Features for Spam Detection in Twitter
K. Santosh
S. Maity
Arjun Mukherjee
24
4
0
11 Apr 2017
struc2vec: Learning Node Representations from Structural Identity
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro
Pedro H. P. Saverese
Daniel R. Figueiredo
28
1,147
0
11 Apr 2017
The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
UQCV
30
357
0
05 Apr 2017
Semi-supervised Embedding in Attributed Networks with Outliers
Semi-supervised Embedding in Attributed Networks with Outliers
Jiongqian Liang
Peter Jacobs
Jiankai Sun
Srinivasan Parthasarathy
BDL
18
111
0
23 Mar 2017
Neural Graph Machines: Learning Neural Networks Using Graphs
Neural Graph Machines: Learning Neural Networks Using Graphs
T. Bui
Sujith Ravi
Vivek Ramavajjala
GNN
30
29
0
14 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Eliav Buchnik
E. Cohen
16
22
0
07 Mar 2017
Model-Independent Online Learning for Influence Maximization
Model-Independent Online Learning for Influence Maximization
Sharan Vaswani
Branislav Kveton
Zheng Wen
Mohammad Ghavamzadeh
L. Lakshmanan
Mark Schmidt
30
14
0
01 Mar 2017
Distributed Representations of Signed Networks
Distributed Representations of Signed Networks
Mohammad Raihanul Islam
B. Prakash
Naren Ramakrishnan
GNN
17
58
0
22 Feb 2017
Name Disambiguation in Anonymized Graphs using Network Embedding
Name Disambiguation in Anonymized Graphs using Network Embedding
Baichuan Zhang
M. Hasan
35
107
0
08 Feb 2017
On Spectral Analysis of Directed Signed Graphs
On Spectral Analysis of Directed Signed Graphs
Yuemeng Li
Xintao Wu
Aidong Lu
31
10
0
23 Dec 2016
Graph Summarization Methods and Applications: A Survey
Graph Summarization Methods and Applications: A Survey
Yike Liu
Tara Safavi
A. Dighe
Danai Koutra
16
139
0
14 Dec 2016
Correlation Clustering with Low-Rank Matrices
Correlation Clustering with Low-Rank Matrices
Nate Veldt
Anthony Wirth
D. Gleich
16
13
0
21 Nov 2016
Learning From Graph Neighborhoods Using LSTMs
Learning From Graph Neighborhoods Using LSTMs
Rakshit Agrawal
Luca de Alfaro
Vassilis Polychronopoulos
GNN
18
7
0
21 Nov 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
57
3,524
0
21 Nov 2016
DeepCas: an End-to-end Predictor of Information Cascades
DeepCas: an End-to-end Predictor of Information Cascades
Cheng Li
Jiaqi Ma
Xiaoxiao Guo
Qiaozhu Mei
GNN
27
325
0
16 Nov 2016
Node Embedding via Word Embedding for Network Community Discovery
Node Embedding via Word Embedding for Network Community Discovery
Weicong Ding
Christy Lin
Prakash Ishwar
36
17
0
09 Nov 2016
From Node Embedding To Community Embedding
From Node Embedding To Community Embedding
V. Zheng
Sandro Cavallari
Hongyun Cai
Kevin Chen-Chuan Chang
Min Zhang
GNN
36
33
0
31 Oct 2016
DeepGraph: Graph Structure Predicts Network Growth
DeepGraph: Graph Structure Predicts Network Growth
Cheng Li
Xiaoxiao Guo
Qiaozhu Mei
GNN
31
17
0
20 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
107
28,649
0
09 Sep 2016
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs
  from Large Graphs
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
A. Narayanan
Mahinthan Chandramohan
Lihui Chen
Yang Liu
S. Saminathan
GNN
17
156
0
29 Jun 2016
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