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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 / 2,628 papers shown
Title
Attributed Network Embedding for Incomplete Attributed Networks
Attributed Network Embedding for Incomplete Attributed Networks
Chengbin Hou
Shan He
Ke Tang
33
1
0
28 Nov 2018
Node Embedding with Adaptive Similarities for Scalable Learning over
  Graphs
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs
Dimitris Berberidis
G. Giannakis
79
18
0
27 Nov 2018
Flexible Attributed Network Embedding
Flexible Attributed Network Embedding
Enya Shen
Zhidong Cao
C. Zou
Jianmin Wang
GNN
21
5
0
27 Nov 2018
Adversarial Classifier for Imbalanced Problems
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
81
12
0
21 Nov 2018
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph
  Convolutional Networks
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
59
40
0
21 Nov 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph
  Representation Learning
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Stephen Bonner
John Brennan
Ibad Kureshi
Georgios Theodoropoulos
A. Mcgough
B. Obara
OOD
78
15
0
20 Nov 2018
Representation Learning of Pedestrian Trajectories Using Actor-Critic
  Sequence-to-Sequence Autoencoder
Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder
Ka-Ho Chow
Anish Hiranandani
Yifeng Zhang
Shueng-Han Gary Chan
66
4
0
20 Nov 2018
Role action embeddings: scalable representation of network positions
Role action embeddings: scalable representation of network positions
George Berry
GNN
48
2
0
19 Nov 2018
Outlier Aware Network Embedding for Attributed Networks
Outlier Aware Network Embedding for Attributed Networks
S. Bandyopadhyay
N. Lokesh
M. Murty
79
93
0
19 Nov 2018
On Geometric Alignment in Low Doubling Dimension
On Geometric Alignment in Low Doubling Dimension
Hu Ding
Mingquan Ye
22
2
0
19 Nov 2018
Adversarial Unsupervised Representation Learning for Activity
  Time-Series
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal
Shafiq Joty
L. Fernández-Luque
Jaideep Srivastava
SSLAI4TS
75
16
0
14 Nov 2018
Streaming Network Embedding through Local Actions
Streaming Network Embedding through Local Actions
Xi Liu
Ping-Chun Hsieh
N. Duffield
Rui Chen
Muhe Xie
Xidao Wen
GNN
44
6
0
14 Nov 2018
SepNE: Bringing Separability to Network Embedding
SepNE: Bringing Separability to Network Embedding
Ziyao Li
Liang Zhang
Guojie Song
GNN
74
13
0
14 Nov 2018
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic
  Spaces
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Victor Prokhorov
Mohammad Taher Pilehvar
Dimitri Kartsaklis
Pietro Lio
Nigel Collier
58
12
0
12 Nov 2018
Gaussian-Induced Convolution for Graphs
Gaussian-Induced Convolution for Graphs
Jiatao Jiang
Zhen Cui
Chunyan Xu
Jian Yang
78
24
0
11 Nov 2018
Multi-View Network Embedding Via Graph Factorization Clustering and
  Co-Regularized Multi-View Agreement
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement
Yiwei Sun
N. Bui
Tsung-Yu Hsieh
Vasant Honavar
29
17
0
06 Nov 2018
Recurrent Skipping Networks for Entity Alignment
Recurrent Skipping Networks for Entity Alignment
Lingbing Guo
Zhenyi Ying
E. Cao
Wei Hu
33
6
0
06 Nov 2018
Towards a Near Universal Time Series Data Mining Tool: Introducing the
  Matrix Profile
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
Richard T. Marriott
AI4TS
88
11
0
05 Nov 2018
Representation Learning by Reconstructing Neighborhoods
Representation Learning by Reconstructing Neighborhoods
Chin-Chia Michael Yeh
Yan Zhu
Evangelos E. Papalexakis
A. Mueen
Eamonn Keogh
SSL
27
0
0
05 Nov 2018
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
Sharon Levy
Wenhan Xiong
E. Belding-Royer
William Yang Wang
HAI
49
11
0
03 Nov 2018
AiDroid: When Heterogeneous Information Network Marries Deep Neural
  Network for Real-time Android Malware Detection
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection
Yanfang Ye
Shifu Hou
Lingwei Chen
Jingwei Lei
Wenqiang Wan
Jiabin Wang
Qi Xiong
Fudong Shao
28
2
0
02 Nov 2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun
Bortik Bandyopadhyay
Armin Bashizade
Jiongqian Liang
P. Sadayappan
Srinivasan Parthasarathy
56
51
0
02 Nov 2018
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via
  Network Infused Embeddings
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Hao Yu
Vivek Kulkarni
Wenjie Wang
31
2
0
01 Nov 2018
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
134
1,574
0
01 Nov 2018
Recovery Guarantees for Quadratic Tensors with Sparse Observations
Recovery Guarantees for Quadratic Tensors with Sparse Observations
Hongyang R. Zhang
Vatsal Sharan
Moses Charikar
Yingyu Liang
96
2
0
31 Oct 2018
DOLORES: Deep Contextualized Knowledge Graph Embeddings
DOLORES: Deep Contextualized Knowledge Graph Embeddings
Haoyu Wang
Vivek Kulkarni
William Yang Wang
HAIAI4CE
97
29
0
31 Oct 2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun
Jian Tang
Huichen Li
Yue Liu
Chaowei Xiao
Yao-Liang Chen
Basel Alomair
GNNAAML
57
67
0
30 Oct 2018
Deep learning long-range information in undirected graphs with wave
  networks
Deep learning long-range information in undirected graphs with wave networks
Matthew K. Matlock
Arghya Datta
N. Dang
Kevin Jiang
S. Joshua Swamidass
GNN
62
15
0
29 Oct 2018
Mean-field theory of graph neural networks in graph partitioning
Mean-field theory of graph neural networks in graph partitioning
T. Kawamoto
Masashi Tsubaki
T. Obuchi
122
58
0
29 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAMLGNN
122
79
0
25 Oct 2018
Streaming Graph Neural Networks
Streaming Graph Neural Networks
Yao Ma
Ziyi Guo
Zhaochun Ren
Eric Zhao
Jiliang Tang
D. Yin
GNN
95
241
0
24 Oct 2018
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
88
56
0
22 Oct 2018
TNE: A Latent Model for Representation Learning on Networks
TNE: A Latent Model for Representation Learning on Networks
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
37
3
0
16 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
363
1,707
0
14 Oct 2018
Top-K Influential Nodes in Social Networks: A Game Perspective
Top-K Influential Nodes in Social Networks: A Game Perspective
Yu Zhang
Yan Zhang
65
0
0
14 Oct 2018
Embedding Geographic Locations for Modelling the Natural Environment
  using Flickr Tags and Structured Data
Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data
Shelan S. Jeawak
Christopher B. Jones
Steven Schockaert
53
11
0
12 Oct 2018
Systematic Biases in Link Prediction: comparing heuristic and graph
  embedding based methods
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
Aakash Sinha
Rémy Cazabet
Rémi Vaudaine
28
9
0
11 Oct 2018
Unpaired High-Resolution and Scalable Style Transfer Using Generative
  Adversarial Networks
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks
Andrej Junginger
Markus Hanselmann
Thilo Strauss
Sebastian Boblest
Jens S. Buchner
Holger Ulmer
GAN
40
10
0
10 Oct 2018
Unsupervised Object Matching for Relational Data
Unsupervised Object Matching for Relational Data
Tomoharu Iwata
N. Ueda
39
2
0
09 Oct 2018
Constructing Graph Node Embeddings via Discrimination of Similarity
  Distributions
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions
Stanislav Tsepa
Maxim Panov
33
1
0
06 Oct 2018
Higher-order Spectral Clustering for Heterogeneous Graphs
Higher-order Spectral Clustering for Heterogeneous Graphs
Aldo G. Carranza
Ryan A. Rossi
Anup B. Rao
Eunyee Koh
47
9
0
06 Oct 2018
Graph Embedding with Shifted Inner Product Similarity and Its Improved
  Approximation Capability
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
Akifumi Okuno
Geewook Kim
Hidetoshi Shimodaira
45
8
0
04 Oct 2018
GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention
  Models
GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention Models
U. Shanthamallu
Jayaraman J. Thiagarajan
Huan Song
A. Spanias
GNN
74
39
0
02 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
220
2,415
0
27 Sep 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for
  Semi-Supervised Learning
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning
Yawei Luo
T. Guan
Junqing Yu
Ping Liu
Yi Yang
SSLGNN
75
33
0
26 Sep 2018
Inferring Complementary Products from Baskets and Browsing Sessions
Inferring Complementary Products from Baskets and Browsing Sessions
I. Trofimov
26
14
0
25 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo
Lu Cheng
Jundong Li
P. R. Hahn
Huan Liu
CML
104
168
0
25 Sep 2018
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning
Seiji Maekawa
Koh Takeuchi
Makoto Onizuka
31
11
0
21 Sep 2018
Improved Deep Embeddings for Inferencing with Multi-Layered Networks
Improved Deep Embeddings for Inferencing with Multi-Layered Networks
Huan Song
Jayaraman J. Thiagarajan
135
2
0
20 Sep 2018
apk2vec: Semi-supervised multi-view representation learning for
  profiling Android applications
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications
A. Narayanan
C. Soh
Lihui Chen
Yang Liu
Lipo Wang
SSL
53
27
0
15 Sep 2018
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