A statistical interpretation of spectral embedding: the generalised random dot product graph

16 September 2017

Patrick Rubin-Delanchy

Joshua Cape

M. Tang

Carey E. Priebe

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Papers citing "A statistical interpretation of spectral embedding: the generalised random dot product graph"

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Title
Weighted Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 50 1 0 06 May 2025
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy Siddharth Vishwanath Jonathan Hehir 74 0 0 24 Apr 2025
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks Emré Anakok Pierre Barbillon Colin Fontaine Elisa Thébault 57 0 0 19 Mar 2025
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 43 0 0 23 Dec 2024
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation Emerald Dilworth Ed Davis Daniel J. Lawson 37 0 0 28 Oct 2024
Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models Wenqing Su Xiao Guo Ying Yang 49 0 0 17 Jun 2024
Learning Joint and Individual Structure in Network Data with Covariates Carson James Dongbang Yuan Irina Gaynanova Jesús Arroyo CML 42 0 0 13 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 40 1 0 05 Jun 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 47 4 0 29 May 2024
Entrywise error bounds for low-rank approximations of kernel matrices Alexander Modell 64 0 0 23 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 61 2 0 21 May 2024
Improved Algorithm and Bounds for Successive Projection Jiashun Jin Z. Ke Gabriel Moryoussef Jiajun Tang Jingming Wang 30 2 0 16 Mar 2024
On varimax asymptotics in network models and spectral methods for dimensionality reduction Joshua Cape 60 1 0 08 Mar 2024
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks Emré Anakok Pierre Barbillon Colin Fontaine Elisa Thébault CML 32 2 0 04 Mar 2024
On inference for modularity statistics in structured networks Anirban Mitra Konasale Prasad Joshua Cape 34 0 0 23 Feb 2024
Signed Diverse Multiplex Networks: Clustering and Inference Marianna Pensky 34 2 0 14 Feb 2024
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 41 1 0 23 Aug 2023
Minimax rates for latent position estimation in the generalized random dot product graph Hao Yan Keith D. Levin 35 2 0 04 Jul 2023
On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling Robert Lunde 17 4 0 12 Jun 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks Alexander Modell Ian Gallagher Emma Ceccherini N. Whiteley Patrick Rubin-Delanchy 38 1 0 09 Jun 2023
Semi-supervised Community Detection via Structural Similarity Metrics Yi-Huei Jiang Tracy Ke 24 0 0 01 Jun 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 50 1 0 10 May 2023
Semisupervised regression in latent structure networks on unknown manifolds Aranyak Acharyya Joshua Agterberg M. Trosset Youngser Park Carey E. Priebe 15 1 0 04 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 42 8 0 03 May 2023
Synergistic Graph Fusion via Encoder Embedding Cencheng Shen Carey E. Priebe Jonathan Larson Ha Trinh AI4CE 44 7 0 31 Mar 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks G. Chan Tianxi Li EgoV 23 1 0 09 Mar 2023
Conformal Prediction for Network-Assisted Regression Robert Lunde Elizaveta Levina Ji Zhu 29 15 0 20 Feb 2023
Efficient Estimation for Longitudinal Networks via Adaptive Merging H. Zhang Junhui Wang 32 2 0 15 Nov 2022
Implications of sparsity and high triangle density for graph representation learning Hannah Sansford Alexander Modell N. Whiteley Patrick Rubin-Delanchy 30 1 0 27 Oct 2022
Dynamic Network Sampling for Community Detection Cong Mu Youngser Park Carey E. Priebe 40 3 0 29 Aug 2022
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method Sheyda Peyman M. Tang V. Lyzinski AAML 35 0 0 20 Aug 2022
Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels Ayushi R. Saxena V. Lyzinski 40 0 0 18 Aug 2022
Perfect Spectral Clustering with Discrete Covariates J. Hehir Xiaoyue Niu Aleksandra B. Slavkovic 25 0 0 17 May 2022
Identifying Peer Influence in Therapeutic Communities Adjusting for Latent Homophily Shanjukta Nath K. Warren Subhadeep Paul 37 1 0 27 Mar 2022
Spectral embedding and the latent geometry of multipartite networks Alexander Modell Ian Gallagher Joshua Cape Patrick Rubin-Delanchy 29 1 0 08 Feb 2022
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 49 10 0 26 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 33 0 0 05 Jan 2022
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings Sudhanshu Chanpuriya Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Zhao Song Cameron Musco 28 4 0 04 Nov 2021
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs John Koo M. Tang M. Trosset 24 7 0 09 Sep 2021
Latent structure blockmodels for Bayesian spectral graph clustering Francesco Sanna Passino N. Heard 44 1 0 04 Jul 2021
Spectral embedding for dynamic networks with stability guarantees Ian Gallagher Andrew Jones Patrick Rubin-Delanchy 26 24 0 02 Jun 2021
Matrix factorisation and the interpretation of geodesic distance N. Whiteley Annie Gray Patrick Rubin-Delanchy 50 9 0 02 Jun 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence Joshua Agterberg Zachary Lubberts Carey Priebe 29 19 0 27 May 2021
Hypothesis Testing for Equality of Latent Positions in Random Graphs Xinjie Du M. Tang 16 9 0 23 May 2021
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian Alexander Modell Patrick Rubin-Delanchy 27 9 0 03 May 2021
Exact Recovery of Community Structures Using DeepWalk and Node2vec Yichi Zhang M. Tang 24 2 0 18 Jan 2021
Latent space models for multiplex networks with shared structure Peter Macdonald Elizaveta Levina Ji Zhu 38 31 0 28 Dec 2020
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues Joshua Agterberg M. Tang Carey Priebe 32 15 0 17 Dec 2020
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel Francesco Sanna Passino N. Heard Patrick Rubin-Delanchy 28 14 0 09 Nov 2020
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts Qiaohui Lin Robert Lunde Purnamrita Sarkar 19 1 0 14 Sep 2020