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Estimating network edge probabilities by neighborhood smoothing

29 September 2015

Yuan Zhang

Elizaveta Levina

Ji Zhu

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Papers citing "Estimating network edge probabilities by neighborhood smoothing"

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Title
Transfer Learning on Edge Connecting Probability Estimation under Graphon Model Yuyao Wang Yu-Hung Cheng Debarghya Mukherjee Huimin Cheng 125 0 0 07 Oct 2025
Simultaneous estimation of connectivity and dimensionality in samples of networksJournal of Computational And Graphical Statistics (JCGS), 2025 Wenlong Jiang Chris McKennan Jesús Arroyo Joshua Cape 60 0 0 17 Aug 2025
Identification of Average Treatment Effects in Nonparametric Panel Models Susan Athey Guido Imbens 163 4 0 25 Mar 2025
Joint Registration and Conformal Prediction for Partially Observed Functional Data Fangyi Wang S. Kurtek Yuan Zhang 443 1 0 20 Feb 2025
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 341 3 0 05 Jun 2024
Estimating Dyadic Treatment Effects with Unknown Confounders Tadao Hoshino Takahide Yanagi 254 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 244 11 0 17 May 2024
Hybrid of node and link communities for graphon estimation Arthur Verdeyme S. Olhede 260 1 0 10 Jan 2024
Optimal Nonparametric Inference on Network Effects with Dependent Edges Wenqin Du Yuan Zhang Wen Zhou 270 1 0 05 Jan 2024
Nested stochastic block model for simultaneously clustering networks and nodes Nathaniel Josephs Arash A. Amini M. Paez Lizhen Lin 241 5 0 18 Jul 2023
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern Meijia Shao Yuan Zhang 321 8 0 19 May 2023
Fitting Low-rank Models on Egocentrically Sampled Partial NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 G. Chan Tianxi Li EgoV 200 1 0 09 Mar 2023
Joint Network Topology Inference via a Shared Graphon ModelIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Madeline Navarro Santiago Segarra 164 16 0 17 Sep 2022
Higher-order accurate two-sample network inference and network hashingJournal of the American Statistical Association (JASA), 2022 Meijia Shao Dong Xia Yuan Zhang Qiong Wu Shuo Chen 209 8 0 16 Aug 2022
Convergence of Invariant Graph NetworksInternational Conference on Machine Learning (ICML), 2022 Chen Cai Yusu Wang 331 8 0 25 Jan 2022
Federated Optimization of Smooth Loss FunctionsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022 Ali Jadbabaie A. Makur Devavrat Shah FedML 616 9 0 06 Jan 2022
High-order joint embedding for multi-level link prediction Yubai Yuan Annie Qu 75 4 0 07 Nov 2021
Optimality of variational inference for stochastic block model with missing linksNeural Information Processing Systems (NeurIPS), 2021 Solenne Gaucher Olga Klopp 261 2 0 05 Nov 2021
Graphon based Clustering and Testing of Networks: Algorithms and Theory Mahalakshmi Sabanayagam L. C. Vankadara Debarghya Ghoshdastidar 270 6 0 06 Oct 2021
Training Graph Neural Networks by Graphon Estimation Ziqing Hu Yihao Fang Lizhen Lin 105 7 0 04 Sep 2021
Network Estimation by Mixing: Adaptivity and MoreJournal of the American Statistical Association (JASA), 2021 Tianxi Li Can M. Le 188 8 0 05 Jun 2021
Nonparametric Modeling of Higher-Order Interactions via HypergraphonsJournal of machine learning research (JMLR), 2021 Krishnakumar Balasubramanian 170 14 0 18 May 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign SeriesNeural Information Processing Systems (NeurIPS), 2021 Chanwoo Lee Miaoyan Wang 178 6 0 31 Jan 2021
Informative core identification in complex networks Ruizhong Miao Tianxi Li 177 7 0 16 Jan 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 190 1 0 02 Jan 2021
A spectral-based framework for hypothesis testing in populations of networksStatistica sinica (SS), 2020 Li Chen Nathaniel Josephs Lizhen Lin Jie Zhou E. D. Kolaczyk 145 0 0 24 Nov 2020
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts Qiaohui Lin Robert Lunde Purnamrita Sarkar 375 2 0 14 Sep 2020
Inference for high-dimensional exchangeable arraysJournal of the American Statistical Association (JASA), 2020 Harold D. Chiang Kengo Kato Yuya Sasaki 407 15 0 10 Sep 2020
Causal Inference in Possibly Nonlinear Factor Models Yingjie Feng CML 206 7 0 31 Aug 2020
Random Graph Asymptotics for Treatment Effect Estimation under Network InterferenceAnnals of Statistics (Ann. Stat.), 2020 Shuangning Li Stefan Wager CML 310 72 0 27 Jul 2020
Learning Sparse Graphons and the Generalized Kesten-Stigum ThresholdAnnals of Statistics (Ann. Stat.), 2020 Emmanuel Abbe Shuangping Li Allan Sly 178 5 0 13 Jun 2020
Identifiability and consistency of network inference using the hub model and variants Yunpeng Zhao Peter J. Bickel Charles Weko 177 3 0 21 Apr 2020
Edgeworth expansions for network momentsAnnals of Statistics (Ann. Stat.), 2020 Yuan Zhang Dong Xia 225 31 0 14 Apr 2020
Smoothing Graphons for Modelling Exchangeable Relational DataMachine-mediated learning (ML), 2020 Xuhui Fan Yaqiong Li Ling-Hao Chen Bin Li Scott A. Sisson 129 4 0 25 Feb 2020
Simultaneous prediction and community detection for networks with application to neuroimaging Jesús Arroyo Elizaveta Levina 223 5 0 05 Feb 2020
Hypothesis testing for populations of networks Li Chen Jie Zhou Lizhen Lin 327 24 0 09 Nov 2019
Change-point detection in dynamic networks via graphon estimation Zifeng Zhao Li Chen Lizhen Lin 171 35 0 05 Aug 2019
Graphon Estimation from Partially Observed Network Data Soumendu Sundar Mukherjee Sayak Chakrabarti 128 6 0 02 Jun 2019
On Robustness of Principal Component RegressionNeural Information Processing Systems (NeurIPS), 2019 Anish Agarwal Devavrat Shah Dennis Shen Dogyoon Song 597 85 0 28 Feb 2019
Maximum Likelihood Estimation of Sparse Networks with Missing Observations Solenne Gaucher Olga Klopp 205 15 0 27 Feb 2019
Change Point Estimation in a Dynamic Stochastic Block Model M. Bhattacharjee Moulinath Banerjee George Michailidis 322 56 0 07 Dec 2018
Consistent polynomial-time unseeded graph matching for Lipschitz graphons Yuan Zhang 112 4 0 29 Jul 2018
Unseeded low-rank graph matching by transform-based unsupervised point registration Yuan Zhang 132 7 0 12 Jul 2018
Distributed Cartesian Power Graph Segmentation for Graphon Estimation Shitong Wei Oscar Hernan Madrid Padilla James Sharpnack 114 1 0 25 May 2018
Optimal link prediction with matrix logistic regression Nicolai Baldin Quentin Berthet 160 17 0 19 Mar 2018
Link prediction for egocentrically sampled networksJournal of Computational And Graphical Statistics (JCGS), 2018 Yun-Jhong Wu Elizaveta Levina Ji Zhu EgoV 117 15 0 12 Mar 2018
Network Representation Using Graph Root DistributionsAnnals of Statistics (Ann. Stat.), 2018 Jing Lei 212 33 0 27 Feb 2018
Model Agnostic Time Series Analysis via Matrix EstimationProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2018 Anish Agarwal M. Amjad Devavrat Shah Dennis Shen AI4TS 384 37 0 25 Feb 2018
Concentration of random graphs and application to community detection Can M. Le Elizaveta Levina Roman Vershynin 154 27 0 26 Jan 2018
Iterative Collaborative Filtering for Sparse Matrix Estimation C. Borgs J. Chayes Devavrat Shah Christina E. Lee 585 40 0 03 Dec 2017