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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
GANE: A Generative Adversarial Network Embedding
GANE: A Generative Adversarial Network Embedding
Huiting Hong
Xin Li
Mingzhong Wang
GAN
59
30
0
18 May 2018
Constructing Narrative Event Evolutionary Graph for Script Event
  Prediction
Constructing Narrative Event Evolutionary Graph for Script Event Prediction
Zhongyang Li
Xiao Ding
Ting Liu
105
195
0
14 May 2018
Twitter User Geolocation using Deep Multiview Learning
Twitter User Geolocation using Deep Multiview Learning
T. Do
Duc Minh Nguyen
Evaggelia Tsiligianni
Bruno Cornelis
Nikos Deligiannis
37
31
0
11 May 2018
From Word to Sense Embeddings: A Survey on Vector Representations of
  Meaning
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados
Mohammad Taher Pilehvar
136
343
0
10 May 2018
hyperdoc2vec: Distributed Representations of Hypertext Documents
hyperdoc2vec: Distributed Representations of Hypertext Documents
Jialong Han
Yan Song
Wayne Xin Zhao
Shuming Shi
Haisong Zhang
76
32
0
10 May 2018
Diffusion Based Network Embedding
Diffusion Based Network Embedding
Yong Shi
Minglong Lei
Peng Zhang
Lingfeng Niu
66
4
0
09 May 2018
Decoding Decoders: Finding Optimal Representation Spaces for
  Unsupervised Similarity Tasks
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
V. Zhelezniak
Dan Busbridge
April Shen
Samuel L. Smith
Nils Y. Hammerla
SSL
73
4
0
09 May 2018
Billion-scale Network Embedding with Iterative Random Projection
Billion-scale Network Embedding with Iterative Random Projection
Ziwei Zhang
Peng Cui
Haoyang Li
Tianlin Li
Wenwu Zhu
181
84
0
07 May 2018
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
Saba A. Al-Sayouri
Ekta Gujral
Danai Koutra
Evangelos E. Papalexakis
Sarah S. Lam
35
9
0
03 May 2018
Graph Bayesian Optimization: Algorithms, Evaluations and Applications
Graph Bayesian Optimization: Algorithms, Evaluations and Applications
Jiaxu Cui
Bo Yang
44
6
0
03 May 2018
Graph Based Semi-supervised Learning with Convolution Neural Networks to
  Classify Crisis Related Tweets
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets
Firoj Alam
Shafiq Joty
Muhammad Imran
53
73
0
02 May 2018
Efficient Graph Computation for Node2Vec
Efficient Graph Computation for Node2Vec
Dongyan Zhou
Songjie Niu
Shimin Chen
56
20
0
01 May 2018
Large-Scale Visual Relationship Understanding
Large-Scale Visual Relationship Understanding
Ji Zhang
Yannis Kalantidis
Marcus Rohrbach
Manohar Paluri
Ahmed Elgammal
Mohamed Elhoseiny
106
169
0
27 Apr 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed
  Network Embedding
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Vachik S. Dave
Baichuan Zhang
Pin-Yu Chen
M. Hasan
BDL
65
29
0
23 Apr 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini
Ting-Li Chen
Wenjun Wu
Yizhou Sun
Majid Sarrafzadeh
70
51
0
22 Apr 2018
Feature Propagation on Graph: A New Perspective to Graph Representation
  Learning
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
B. Xiang
Ziqi Liu
Jun Zhou
Xiaolong Li
3DVGNN
70
7
0
17 Apr 2018
Walk-Steered Convolution for Graph Classification
Walk-Steered Convolution for Graph Classification
Jiatao Jiang
Chunyan Xu
Zhen Cui
Tong Zhang
Chengzhen Li
Jian Yang
GNN
77
12
0
16 Apr 2018
Not all Embeddings are created Equal: Extracting Entity-specific
  Substructures for RDF Graph Embedding
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding
Muhammad Rizwan Saeed
C. Chelmis
Viktor Prasanna
23
8
0
14 Apr 2018
Distributed Collaborative Hashing and Its Applications in Ant Financial
Distributed Collaborative Hashing and Its Applications in Ant Financial
Chaochao Chen
Ziqi Liu
P. Zhao
Longfei Li
Jun Zhou
Xiaolong Li
FedML
53
8
0
13 Apr 2018
Predicting Twitter User Socioeconomic Attributes with Network and
  Language Information
Predicting Twitter User Socioeconomic Attributes with Network and Language Information
Nikolaos Aletras
B. Chamberlain
56
54
0
11 Apr 2018
Adaptive Diffusions for Scalable Learning over Graphs
Adaptive Diffusions for Scalable Learning over Graphs
Dimitris Berberidis
A. Nikolakopoulos
G. Giannakis
GNN
96
37
0
05 Apr 2018
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
381
824
0
04 Apr 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
O. Ganea
Gary Bécigneul
Thomas Hofmann
209
276
0
03 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
90
173
0
03 Apr 2018
mQAPViz: A divide-and-conquer multi-objective optimization algorithm to
  compute large data visualizations
mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations
C. Sanhueza
Francia Jiménez
Regina Berretta
P. Moscato
31
0
0
02 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Kien Do
T. Tran
Thin Nguyen
Svetha Venkatesh
76
17
0
01 Apr 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
145
304
0
28 Mar 2018
A General Path-Based Representation for Predicting Program Properties
A General Path-Based Representation for Predicting Program Properties
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
46
207
0
26 Mar 2018
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network
  Embedding
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding
Lei Sang
Min Xu
Shengsheng Qian
Xindong Wu
GANGNN
57
11
0
24 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
63
76
0
16 Mar 2018
VERSE: Versatile Graph Embeddings from Similarity Measures
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
Emmanuel Müller
72
270
0
13 Mar 2018
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs
Xiaolong Xie
Yun Liang
Xiuhong Li
Wei Tan
58
8
0
13 Mar 2018
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TSAI4CE
92
53
0
11 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning
Attention-based Graph Neural Network for Semi-supervised Learning
K. K. Thekumparampil
Chong-Jun Wang
Sewoong Oh
Li Li
GNN
123
335
0
10 Mar 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in
  Alibaba
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
Jizhe Wang
Pipei Huang
Huan Zhao
Zhibo Zhang
Binqiang Zhao
Lee
80
501
0
06 Mar 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information
  Networks
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Yu Shi
Huan Gui
Qi Zhu
Lance M. Kaplan
Jiawei Han
72
83
0
05 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GANGNN
195
362
0
02 Mar 2018
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
123
142
0
28 Feb 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
159
1,957
0
27 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node
  Classification
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Sami Abu-El-Haija
Amol Kapoor
Bryan Perozzi
Joonseok Lee
GNNSSL
102
262
0
24 Feb 2018
Learning Topic Models by Neighborhood Aggregation
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
51
3
0
22 Feb 2018
Simplicial Closure and higher-order link prediction
Simplicial Closure and higher-order link prediction
Austin R. Benson
Rediet Abebe
Michael T. Schaub
Ali Jadbabaie
Jon M. Kleinberg
AI4CE
114
499
0
20 Feb 2018
Node Centralities and Classification Performance for Characterizing Node
  Embedding Algorithms
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms
Kento Nozawa
Masanari Kimura
Atsunori Kanemura
GNN
24
2
0
18 Feb 2018
Detecting Social Influence in Event Cascades by Comparing Discriminative
  Rankers
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers
Sandeep Soni
S. L. Ramirez
Jacob Eisenstein
TDI
68
8
0
16 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta
A. De
G. Jana
P. Chattaraj
Niloy Ganguly
Manuel Gomez Rodriguez
GNNDRLBDLDiffM
122
219
0
14 Feb 2018
Graph2Seq: Scalable Learning Dynamics for Graphs
Graph2Seq: Scalable Learning Dynamics for Graphs
S. Venkatakrishnan
Mohammad Alizadeh
Pramod Viswanath
GNN
80
12
0
14 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
167
93
0
14 Feb 2018
Weakly supervised collective feature learning from curated media
Weakly supervised collective feature learning from curated media
Yusuke Mukuta
Akisato Kimura
David B. Adrian
Zoubin Ghahramani
25
0
0
13 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNNGAN
79
450
0
13 Feb 2018
Learning Role-based Graph Embeddings
Learning Role-based Graph Embeddings
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
109
96
0
07 Feb 2018
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