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Inference for multiple heterogeneous networks with a common invariant subspace

24 June 2019

Carey E. Priebe

Papers citing "Inference for multiple heterogeneous networks with a common invariant subspace"

50 / 56 papers shown

Title
Tensor State Space-based Dynamic Multilayer Network Modeling Tian-Shing Lan Jie Guo Chen Zhang 53 0 0 03 Jun 2025
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) Tong Qi Vera Andersson Peter Viechnicki V. Lyzinski 62 0 0 03 Jun 2025
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Raphaël Romero T. D. Bie Nick Heard Alexander Modell 17 0 0 01 Jun 2025
Principal Graph Encoder Embedding and Principal Community Detection Cencheng Shen Yuexiao Dong Carey E. Priebe Jonathan Larson Ha Trinh Youngser Park 126 1 0 24 Jan 2025
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings Konstantinos Pantazis M. Trosset W. Frost Carey E. Priebe V. Lyzinski 97 0 0 26 Sep 2024
Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models Wenqing Su Xiao Guo Ying Yang 68 0 0 17 Jun 2024
Learning Joint and Individual Structure in Network Data with Covariates Carson James Dongbang Yuan Irina Gaynanova Jesús Arroyo CML 59 1 0 13 Jun 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 92 2 0 21 May 2024
Community detection by spectral methods in multi-layer networks Huan Qing 130 3 0 19 Mar 2024
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships Kevin Z Lin Jing Lei 62 2 0 08 Mar 2024
Signed Diverse Multiplex Networks: Clustering and Inference Marianna Pensky 58 2 0 14 Feb 2024
Multiview Graph Learning with Consensus Graph Abdullah Karaaslanli Selin Aviyente 57 3 0 24 Jan 2024
Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS Drake Brown Trevor Garrity Kaden Parker Jason Oliphant Stone Carson Cole Hanson Zachary Boyd 47 0 0 11 Oct 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 72 1 0 23 Aug 2023
Continuous and Atlas-free Analysis of Brain Structural Connectivity W. Consagra Martin Cole Xing Qiu Zhengwu Zhang 20 1 0 10 Aug 2023
Learning cross-layer dependence structure in multilayer networks Jiaheng Li J. Stewart 55 0 0 27 Jul 2023
Spectral co-Clustering in Multi-layer Directed Networks W. Su Xiaoxun Guo Xiangyu Chang Ying Yang 57 7 0 20 Jul 2023
Nested stochastic block model for simultaneously clustering networks and nodes Nathaniel Josephs Arash A. Amini M. Paez Lizhen Lin 62 4 0 18 Jul 2023
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks Xiaoxun Guo Xiang Li Xiangyu Chang Shujie Ma 55 4 0 27 Jun 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 71 1 0 10 May 2023
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics Cencheng Shen Jonathan Larson Ha Trinh Xihan Qin V. Prisacariu Carey E. Priebe 73 8 0 03 May 2023
Synergistic Graph Fusion via Encoder Embedding Cencheng Shen Carey E. Priebe Jonathan Larson Ha Trinh AI4CE 87 7 0 31 Mar 2023
A pseudo-likelihood approach to community detection in weighted networks Andressa Cerqueira Elizaveta Levina 98 3 0 10 Mar 2023
rMultiNet: An R Package For Multilayer Networks Analysis Ting Li Zhongyuan Lyu Chenyu Ren Dong Xia 57 1 0 09 Feb 2023
Joint graph learning from Gaussian observations in the presence of hidden nodes Samuel Rey Madeline Navarro Andrei Buciulea Santiago Segarra A. Marques CML 62 4 0 04 Dec 2022
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs Luana Ruiz Ningyuan Huang Soledad Villar 85 5 0 06 Nov 2022
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model Tianxi Cai Dong Xia Luwan Zhang D. Zhou 47 1 0 28 Sep 2022
Joint Network Topology Inference via a Shared Graphon Model Madeline Navarro Santiago Segarra 77 12 0 17 Sep 2022
Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels Ayushi R. Saxena V. Lyzinski 72 1 0 18 Aug 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 84 4 0 11 Jul 2022
Analyzing Brain Structural Connectivity as Continuous Random Functions W. Consagra Martin Cole Zhengwu Zhang 15 1 0 22 Jun 2022
Modelling Populations of Interaction Networks via Distance Metrics G. Bolt Simón Lunagómez Christopher Nemeth 45 1 0 20 Jun 2022
Clustered Graph Matching for Label Recovery and Graph Classification Zhirui Li Jesús Arroyo Konstantinos Pantazis V. Lyzinski FedML 55 1 0 06 May 2022
Exact Community Recovery in Correlated Stochastic Block Models Julia Gaudio Miklós Z. Rácz Anirudh Sridhar 78 10 0 29 Mar 2022
Mental State Classification Using Multi-graph Features Guodong Chen Hayden S. Helm Kate Lytvynets Weiwei Yang Carey E. Priebe 46 8 0 25 Feb 2022
Edge coherence in multiplex networks Swati Chandna S. Janson S. Olhede 28 3 0 18 Feb 2022
Bayesian Nonparametric Mixtures of Exponential Random Graph Models for Ensembles of Networks Sa Ren Xuepeng Wang P. Liu Jian Zhang 41 2 0 20 Jan 2022
A new ranking scheme for modern data and its application to two-sample hypothesis testing D. Zhou Hao Chen 37 3 0 24 Dec 2021
Joint inference of multiple graphs with hidden variables from stationary graph signals Samuel Rey Andrei Buciulea Madeline Navarro Santiago Segarra A. Marques 48 8 0 05 Oct 2021
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities Miklós Z. Rácz Anirudh Sridhar 52 30 0 14 Jul 2021
Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition Zhongyuan Lyu Dong Xia Yuan Zhang 70 24 0 30 Jun 2021
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity Joshua K. Behne Galen Reeves 60 12 0 22 Jun 2021
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices D. Zhou Tianxi Cai Junwei Lu 111 11 0 21 May 2021
Community Detection in Weighted Multilayer Networks with Ambient Noise Mark He Dylan Lu Jason Xu R. Xavier 87 0 0 24 Feb 2021
Latent space models for multiplex networks with shared structure Peter Macdonald Elizaveta Levina Ji Zhu 76 32 0 28 Dec 2020
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks Shuxiao Chen Sifan Liu Zongming Ma 77 27 0 02 Dec 2020
Joint Inference of Multiple Graphs from Matrix Polynomials Madeline Navarro Yuhao Wang A. Marques Caroline Uhler Santiago Segarra 65 31 0 16 Oct 2020
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks Konstantinos Pantazis A. Athreya Jesús Arroyo W. Frost E. Hill V. Lyzinski 78 12 0 01 Aug 2020
The multilayer random dot product graph Andrew Jones Patrick Rubin-Delanchy 105 38 0 20 Jul 2020
Bias-Variance Tradeoffs in Joint Spectral Embeddings Benjamin Draves D. Sussman 63 9 0 05 May 2020