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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"

50 / 1,033 papers shown
Title
InfoGCL: Information-Aware Graph Contrastive Learning
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu
Wei Cheng
Dongsheng Luo
Haifeng Chen
Xiang Zhang
33
193
0
28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination
  Therapy
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
23
19
0
28 Oct 2021
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Hanghang Tong
36
57
0
28 Oct 2021
Node-wise Localization of Graph Neural Networks
Node-wise Localization of Graph Neural Networks
Zemin Liu
Yuan Fang
Chenghao Liu
Guosheng Lin
27
25
0
27 Oct 2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
Chao Fan
Mengke Zhang
Ali Mostafavi
AI4CE
29
13
0
24 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang
A. Silva
Ambuj K. Singh
21
49
0
24 Oct 2021
Forecasting Financial Market Structure from Network Features using
  Machine Learning
Forecasting Financial Market Structure from Network Features using Machine Learning
Douglas Castilho
T. T. P. Souza
Soong Moon Kang
João Gama
A. Carvalho
14
1
0
22 Oct 2021
Privacy-Aware Identity Cloning Detection based on Deep Forest
Privacy-Aware Identity Cloning Detection based on Deep Forest
Ahmed AlHarbi
Haipeng Dong
X. Yi
Prabath Abeysekara
14
3
0
21 Oct 2021
LMSOC: An Approach for Socially Sensitive Pretraining
LMSOC: An Approach for Socially Sensitive Pretraining
Vivek Kulkarni
Shubhanshu Mishra
A. Haghighi
22
13
0
20 Oct 2021
Efficient Analysis of COVID-19 Clinical Data using Machine Learning
  Models
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models
Sarwan Ali
Yijing Zhou
M. Patterson
OOD
32
32
0
18 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
29
10
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
37
274
0
18 Oct 2021
POLE: Polarized Embedding for Signed Networks
POLE: Polarized Embedding for Signed Networks
Zexi Huang
A. Silva
Ambuj K. Singh
19
36
0
17 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku
Jisung Yoon
I. Constantino
Yong-Yeol Ahn
CML
48
23
0
14 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri
Philip E. Davis
P. Subedi
M. Parashar
GNN
36
1
0
13 Oct 2021
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced
  Network Sampling
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
Ling Zhan
Tao Jia
36
8
0
12 Oct 2021
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Jonathan Bryan
Pablo Moriano
21
7
0
11 Oct 2021
Neural Link Prediction with Walk Pooling
Neural Link Prediction with Walk Pooling
Liming Pan
Chen Shi
Ivan Dokmanić
27
52
0
08 Oct 2021
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Joan Plepi
Lucie Flek
21
23
0
08 Oct 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Jinyin Chen
Haiyang Xiong
Haibin Zheng
Jian Zhang
Guodong Jiang
Yi Liu
AAML
SILM
AI4CE
51
10
0
08 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure
  Awareness
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao
Wei Jin
Leman Akoglu
Neil Shah
GNN
29
162
0
07 Oct 2021
Inference Attacks Against Graph Neural Networks
Inference Attacks Against Graph Neural Networks
Zhikun Zhang
Min Chen
Michael Backes
Yun Shen
Yang Zhang
MIACV
AAML
GNN
33
50
0
06 Oct 2021
FacialFilmroll: High-resolution multi-shot video editing
FacialFilmroll: High-resolution multi-shot video editing
B. Damodaran
Emmanuel Jolly
Gilles Puy
P. Gosselin
Cédric Thébault
Junghyun Ahn
Tim Christensen
P. Ghezzo
Pierre Hellier
CVBM
26
1
0
05 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
30
121
0
05 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property
  Prediction
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
SSL
AI4CE
46
251
0
03 Oct 2021
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location
Sarwan Ali
B. Bello
Z. Tayebi
Murray Patterson
49
2
0
02 Oct 2021
Inductive Representation Learning in Temporal Networks via Mining
  Neighborhood and Community Influences
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
Meng Liu
Yong Liu
AI4TS
88
37
0
01 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks
Adaptive Multi-layer Contrastive Graph Neural Networks
S. Shi
Pengfei Xie
Xu Luo
Kai Qiao
Linyuan Wang
Jian Chen
B. Yan
OOD
24
5
0
29 Sep 2021
Learning Ideological Embeddings from Information Cascades
Learning Ideological Embeddings from Information Cascades
Corrado Monti
Giuseppe Manco
Çigdem Aslay
Francesco Bonchi
30
10
0
28 Sep 2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime
  Forecasting
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang
Zongyu Lin
Xiaochen Yang
Jiao Sun
Mingxuan Yue
Cyrus Shahabi
AI4TS
71
28
0
27 Sep 2021
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon
  Induction from Word Embedding Spaces
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
Kelly Marchisio
Youngser Park
Ali Saad-Eldin
A. Alyakin
Kevin Duh
Carey Priebe
Philipp Koehn
34
4
0
26 Sep 2021
Combining Discrete Choice Models and Neural Networks through Embeddings:
  Formulation, Interpretability and Performance
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
Ioanna Arkoudi
C. L. Azevedo
Francisco Câmara Pereira
16
16
0
24 Sep 2021
Investigating and Modeling the Dynamics of Long Ties
Investigating and Modeling the Dynamics of Long Ties
Ding Lyu
Yuan. Yuan
Lin Wang
Xiaofan Wang
Alex Pentland
41
15
0
22 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
56
145
0
21 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
49
22
0
20 Sep 2021
Grouping Search Results with Product Graphs in E-commerce Platforms
Grouping Search Results with Product Graphs in E-commerce Platforms
Suhas Ranganath
Shibsankar Das
Sanjay Thilaivasan
Shipra Agarwal
Varun Shrivastava
22
0
0
20 Sep 2021
Harnessing the Power of Ego Network Layers for Link Prediction in Online
  Social Networks
Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks
Mustafa Toprak
Chiara Boldrini
A. Passarella
M. Conti
13
16
0
19 Sep 2021
Repurposing of Resources: from Everyday Problem Solving through to
  Crisis Management
Repurposing of Resources: from Everyday Problem Solving through to Crisis Management
Antonis Bikakis
Luke Dickens
Anthony Hunter
Robt. Miller
11
1
0
17 Sep 2021
Embedding Node Structural Role Identity Using Stress Majorization
Embedding Node Structural Role Identity Using Stress Majorization
Lili Wang
Chenghan Huang
Weicheng Ma
Ying Lu
Soroush Vosoughi
16
4
0
14 Sep 2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution
  Characterization
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
Lili Wang
Chenghan Huang
Weicheng Ma
Xinyuan Cao
Soroush Vosoughi
GNN
DiffM
20
14
0
14 Sep 2021
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship
  Discovery
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
Yi Nian
Jingcheng Du
Larry Bu
Fang Li
Xinyue Hu
Yuji Zhang
Cui Tao
15
2
0
13 Sep 2021
Meta-Path-based Fake News Detection Leveraging Multi-level Social
  Context Information
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information
Jian Cui
Kwanwoo Kim
S. Na
Seung-Eui Shin
30
25
0
13 Sep 2021
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19
  Spike Sequences
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Sarwan Ali
M. Patterson
23
46
0
12 Sep 2021
Local Augmentation for Graph Neural Networks
Local Augmentation for Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Tingyang Xu
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
50
91
0
08 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
43
28
0
08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph
  Learning
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
Xinjun Cai
Jiaxing Shang
Fei Hao
Dajiang Liu
Linjiang Zheng
33
19
0
07 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph
  Representation Learning
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis
Pavlos Sermpezis
Athena Vakali
31
0
0
06 Sep 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning
  and Neuroscience (VesselGraph)
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
Johannes C. Paetzold
J. McGinnis
Suprosanna Shit
Ivan Ezhov
Paul Büschl
...
Anjany Sekuboyina
Georgios Kaissis
Ali Ertürk
Stephan Günnemann
Bjoern H. Menze
19
9
0
30 Aug 2021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in
  Deep Neural Networks
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Haekyu Park
Nilaksh Das
Rahul Duggal
Austin P. Wright
Omar Shaikh
Fred Hohman
Duen Horng Chau
HAI
29
25
0
29 Aug 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based
  Motion Prediction
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
3DH
25
74
0
25 Aug 2021
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