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1509.08588
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Estimating network edge probabilities by neighborhood smoothing
29 September 2015
Yuan Zhang
Elizaveta Levina
Ji Zhu
Re-assign community
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Papers citing
"Estimating network edge probabilities by neighborhood smoothing"
50 / 62 papers shown
Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
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Yu-Hung Cheng
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Wenlong Jiang
Chris McKennan
Jesús Arroyo
Joshua Cape
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17 Aug 2025
Identification of Average Treatment Effects in Nonparametric Panel Models
Susan Athey
Guido Imbens
237
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25 Mar 2025
Joint Registration and Conformal Prediction for Partially Observed Functional Data
Fangyi Wang
S. Kurtek
Yuan Zhang
686
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20 Feb 2025
Transfer Learning for Latent Variable Network Models
Akhil Jalan
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
459
3
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05 Jun 2024
Estimating Dyadic Treatment Effects with Unknown Confounders
Tadao Hoshino
Takahide Yanagi
315
1
0
26 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
409
11
0
17 May 2024
Hybrid of node and link communities for graphon estimation
Arthur Verdeyme
S. Olhede
339
1
0
10 Jan 2024
Optimal Nonparametric Inference on Network Effects with Dependent Edges
Wenqin Du
Yuan Zhang
Wen Zhou
352
1
0
05 Jan 2024
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs
Arash A. Amini
M. Paez
Lizhen Lin
343
7
0
18 Jul 2023
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Meijia Shao
Yuan Zhang
424
9
0
19 May 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
G. Chan
Tianxi Li
EgoV
321
1
0
09 Mar 2023
Joint Network Topology Inference via a Shared Graphon Model
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Madeline Navarro
Santiago Segarra
219
17
0
17 Sep 2022
Higher-order accurate two-sample network inference and network hashing
Journal of the American Statistical Association (JASA), 2022
Meijia Shao
Dong Xia
Yuan Zhang
Qiong Wu
Shuo Chen
358
8
0
16 Aug 2022
Convergence of Invariant Graph Networks
International Conference on Machine Learning (ICML), 2022
Chen Cai
Yusu Wang
460
8
0
25 Jan 2022
Federated Optimization of Smooth Loss Functions
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Ali Jadbabaie
A. Makur
Devavrat Shah
FedML
756
11
0
06 Jan 2022
High-order joint embedding for multi-level link prediction
Yubai Yuan
Annie Qu
99
4
0
07 Nov 2021
Optimality of variational inference for stochastic block model with missing links
Neural Information Processing Systems (NeurIPS), 2021
Solenne Gaucher
Olga Klopp
373
2
0
05 Nov 2021
Graphon based Clustering and Testing of Networks: Algorithms and Theory
Mahalakshmi Sabanayagam
L. C. Vankadara
Debarghya Ghoshdastidar
334
6
0
06 Oct 2021
Training Graph Neural Networks by Graphon Estimation
Ziqing Hu
Yihao Fang
Lizhen Lin
130
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0
04 Sep 2021
Network Estimation by Mixing: Adaptivity and More
Journal of the American Statistical Association (JASA), 2021
Tianxi Li
Can M. Le
241
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05 Jun 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Journal of machine learning research (JMLR), 2021
Krishnakumar Balasubramanian
256
16
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18 May 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Neural Information Processing Systems (NeurIPS), 2021
Chanwoo Lee
Miaoyan Wang
321
6
0
31 Jan 2021
Informative core identification in complex networks
Ruizhong Miao
Tianxi Li
235
7
0
16 Jan 2021
Modularity maximisation for graphons
F. Klimm
N. Jones
Michael T. Schaub
223
1
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02 Jan 2021
A spectral-based framework for hypothesis testing in populations of networks
Statistica sinica (SS), 2020
Li Chen
Nathaniel Josephs
Lizhen Lin
Jie Zhou
E. D. Kolaczyk
239
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0
24 Nov 2020
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts
Qiaohui Lin
Robert Lunde
Purnamrita Sarkar
530
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0
14 Sep 2020
Inference for high-dimensional exchangeable arrays
Journal of the American Statistical Association (JASA), 2020
Harold D. Chiang
Kengo Kato
Yuya Sasaki
488
18
0
10 Sep 2020
Causal Inference in Possibly Nonlinear Factor Models
Yingjie Feng
CML
336
7
0
31 Aug 2020
Random Graph Asymptotics for Treatment Effect Estimation under Network Interference
Annals of Statistics (Ann. Stat.), 2020
Shuangning Li
Stefan Wager
CML
485
80
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27 Jul 2020
Learning Sparse Graphons and the Generalized Kesten-Stigum Threshold
Annals of Statistics (Ann. Stat.), 2020
Emmanuel Abbe
Shuangping Li
Allan Sly
284
5
0
13 Jun 2020
Identifiability and consistency of network inference using the hub model and variants
Yunpeng Zhao
Peter J. Bickel
Charles Weko
242
3
0
21 Apr 2020
Edgeworth expansions for network moments
Annals of Statistics (Ann. Stat.), 2020
Yuan Zhang
Dong Xia
313
33
0
14 Apr 2020
Smoothing Graphons for Modelling Exchangeable Relational Data
Machine-mediated learning (ML), 2020
Xuhui Fan
Yaqiong Li
Ling-Hao Chen
Bin Li
Scott A. Sisson
166
4
0
25 Feb 2020
Simultaneous prediction and community detection for networks with application to neuroimaging
Jesús Arroyo
Elizaveta Levina
279
5
0
05 Feb 2020
Hypothesis testing for populations of networks
Li Chen
Jie Zhou
Lizhen Lin
399
24
0
09 Nov 2019
Change-point detection in dynamic networks via graphon estimation
Zifeng Zhao
Li Chen
Lizhen Lin
220
36
0
05 Aug 2019
Graphon Estimation from Partially Observed Network Data
Soumendu Sundar Mukherjee
Sayak Chakrabarti
224
6
0
02 Jun 2019
On Robustness of Principal Component Regression
Neural Information Processing Systems (NeurIPS), 2019
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
964
91
0
28 Feb 2019
Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Solenne Gaucher
Olga Klopp
327
15
0
27 Feb 2019
Change Point Estimation in a Dynamic Stochastic Block Model
M. Bhattacharjee
Moulinath Banerjee
George Michailidis
474
59
0
07 Dec 2018
Consistent polynomial-time unseeded graph matching for Lipschitz graphons
Yuan Zhang
176
4
0
29 Jul 2018
Unseeded low-rank graph matching by transform-based unsupervised point registration
Yuan Zhang
191
8
0
12 Jul 2018
Distributed Cartesian Power Graph Segmentation for Graphon Estimation
Shitong Wei
Oscar Hernan Madrid Padilla
James Sharpnack
154
1
0
25 May 2018
Optimal link prediction with matrix logistic regression
Nicolai Baldin
Quentin Berthet
231
17
0
19 Mar 2018
Link prediction for egocentrically sampled networks
Journal of Computational And Graphical Statistics (JCGS), 2018
Yun-Jhong Wu
Elizaveta Levina
Ji Zhu
EgoV
172
16
0
12 Mar 2018
Network Representation Using Graph Root Distributions
Annals of Statistics (Ann. Stat.), 2018
Jing Lei
326
36
0
27 Feb 2018
Model Agnostic Time Series Analysis via Matrix Estimation
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2018
Anish Agarwal
M. Amjad
Devavrat Shah
Dennis Shen
AI4TS
568
39
0
25 Feb 2018
Concentration of random graphs and application to community detection
Can M. Le
Elizaveta Levina
Roman Vershynin
201
28
0
26 Jan 2018
Iterative Collaborative Filtering for Sparse Matrix Estimation
C. Borgs
J. Chayes
Devavrat Shah
Christina E. Lee
724
40
0
03 Dec 2017
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