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2201.01689
Cited By
Asymptotics of
ℓ
2
\ell_2
ℓ
2
Regularized Network Embeddings
5 January 2022
A. Davison
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Papers citing
"Asymptotics of $\ell_2$ Regularized Network Embeddings"
38 / 38 papers shown
Title
Asymptotics of Network Embeddings Learned via Subsampling
Andrew J. Davison
Morgane Austern
14
9
0
06 Jul 2021
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
229
697
0
10 Oct 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
BDL
121
34
0
10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
168
1,284
0
10 Jun 2020
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
Keith D. Levin
Fred Roosta
M. Tang
Michael W. Mahoney
Carey E. Priebe
18
5
0
29 Sep 2019
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
49
46
0
04 Oct 2018
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
102
2,359
0
27 Sep 2018
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
Victor Veitch
Morgane Austern
Wenda Zhou
David M. Blei
Peter Orbanz
19
9
0
27 Jun 2018
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyun Li
Francesco Orabona
51
294
0
21 May 2018
Network Representation Using Graph Root Distributions
Jing Lei
72
31
0
27 Feb 2018
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
46
916
0
09 Oct 2017
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
106
1,970
0
17 Sep 2017
A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
37
129
0
16 Sep 2017
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
76
248
0
16 Sep 2017
Rates of Convergence of Spectral Methods for Graphon Estimation
Jiaming Xu
78
81
0
10 Sep 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
364
15,066
0
07 Jun 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
78
1,723
0
08 May 2017
On the sub-Gaussianity of the Beta and Dirichlet distributions
Olivier Marchal
Julyan Arbel
18
79
0
28 Apr 2017
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
90
3,541
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
411
28,795
0
09 Sep 2016
Limit theorems for eigenvectors of the normalized Laplacian for random graphs
M. Tang
Carey E. Priebe
28
99
0
28 Jul 2016
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
142
10,800
0
03 Jul 2016
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
165
3,191
0
15 Jun 2016
The Class of Random Graphs Arising from Exchangeable Random Measures
Victor Veitch
Daniel M. Roy
103
102
0
07 Dec 2015
Oracle inequalities for network models and sparse graphon estimation
Olga Klopp
Alexandre B. Tsybakov
Nicolas Verzelen MODAL'X
168
134
0
15 Jul 2015
Private Graphon Estimation for Sparse Graphs
C. Borgs
J. Chayes
Adam D. Smith
120
87
0
19 Jun 2015
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
102
5,315
0
12 Mar 2015
Rate-optimal graphon estimation
Chao Gao
Yu Lu
Harrison H. Zhou
80
217
0
21 Oct 2014
Generalized Low Rank Models
Madeleine Udell
Corinne Horn
R. Zadeh
Stephen P. Boyd
52
345
0
01 Oct 2014
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
204
9,735
0
26 Mar 2014
Consistency of spectral clustering in stochastic block models
Jing Lei
Alessandro Rinaldo
90
603
0
07 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
264
33,445
0
16 Oct 2013
Nonparametric graphon estimation
P. Wolfe
S. Olhede
75
202
0
23 Sep 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
54
1,538
0
22 Sep 2013
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
195
523
0
06 Dec 2012
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
110
663
0
29 Nov 2010
Consistency of trace norm minimization
Francis R. Bach
183
220
0
15 Oct 2007
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
185
3,758
0
28 Jun 2007
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