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Community Detection and Stochastic Block Models

29 March 2017

Papers citing "Community Detection and Stochastic Block Models"

50 / 538 papers shown

Title
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 101 322 0 08 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 44 1 0 04 Jun 2021
Low-Rank Projections of GCNs Laplacian Nathan Grinsztajn Philippe Preux Edouard Oyallon 21 1 0 04 Jun 2021
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models Marco Mondelli R. Venkataramanan 94 19 0 04 Jun 2021
$Efficient $\mathbb{Z}_2$ synchronization on $\mathbb{Z}^d$ under symmetry-preserving side information$ Efficient $\mathbb{Z}_2$ synchronization on $\mathbb{Z}^d$ under symmetry-preserving side information A. Alaoui 31 0 0 03 Jun 2021
Nonlinear Matrix Approximation with Radial Basis Function Components E. Rebrova Yu Tang 42 0 0 03 Jun 2021
Spectral embedding for dynamic networks with stability guarantees Ian Gallagher Andrew Jones Patrick Rubin-Delanchy 87 25 0 02 Jun 2021
Matrix factorisation and the interpretation of geodesic distance N. Whiteley Annie Gray Patrick Rubin-Delanchy 87 10 0 02 Jun 2021
Clustered Federated Learning via Generalized Total Variation Minimization Yasmin SarcheshmehPour Yu Tian Linli Zhang A. Jung FedML 23 8 0 26 May 2021
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy J. Hehir Aleksandra B. Slavkovic Xiaoyue Niu 40 9 0 26 May 2021
A Comprehensive Survey on Community Detection with Deep Learning Xing Su Shan Xue Fanzhen Liu Hongzhi Zhang Jian Yang ... Cécile Paris Surya Nepal Di Jin Quan Z. Sheng Philip S. Yu GNN 88 335 0 26 May 2021
Hypothesis Testing for Equality of Latent Positions in Random Graphs Xinjie Du M. Tang 63 11 0 23 May 2021
Multiple Support Recovery Using Very Few Measurements Per Sample Lekshmi Ramesh C. Murthy Himanshu Tyagi 31 5 0 20 May 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons Krishnakumar Balasubramanian 59 12 0 18 May 2021
Uncertainty quantification and testing in a stochastic block model with two unequal communities J. van Waaij B. Kleijn 50 1 0 18 May 2021
Choice Set Confounding in Discrete Choice K. Tomlinson J. Ugander Austin R. Benson CML 42 4 0 17 May 2021
Joint Community Detection and Rotational Synchronization via Semidefinite Programming Yifeng Fan Y. Khoo Zhizhen Zhao 58 6 0 13 May 2021
Exact Recovery in the General Hypergraph Stochastic Block Model Q. Zhang Vincent Y. F. Tan 96 22 0 11 May 2021
Approximate Fréchet Mean for Data Sets of Sparse Graphs Daniel Ferguson Franccois G. Meyer 14 0 0 10 May 2021
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions Shubham Gupta Ambedkar Dukkipati 64 8 0 08 May 2021
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian Alexander Modell Patrick Rubin-Delanchy 47 9 0 03 May 2021
Detection of Signal in the Spiked Rectangular Models Ji Hyung Jung Hye Won Chung J. Lee 84 10 0 28 Apr 2021
Skeleton Clustering: Dimension-Free Density-based Clustering Zeyu Wei Yen-Chi Chen 47 2 0 21 Apr 2021
Community Detection with Contextual Multilayer Networks Zongming Ma Sagnik Nandy 78 23 0 07 Apr 2021
Statistical Limits of Sparse Mixture Detection Subhodh Kotekal 59 0 0 06 Apr 2021
Semi-Supervised Clustering with Inaccurate Pairwise Annotations Daniel Gribel M. Gendreau Thibaut Vidal 32 7 0 05 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 100 101 0 03 Apr 2021
Rethinking Graph Neural Architecture Search from Message-passing Shaofei Cai Liang Li Jincan Deng Beichen Zhang Zhengjun Zha Li Su Qingming Huang GNN AI4CE 67 53 0 26 Mar 2021
Clustering multilayer graphs with missing nodes Guillaume Braun Hemant Tyagi C. Biernacki 50 5 0 04 Mar 2021
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances Hunter Lang Aravind Reddy David Sontag Aravindan Vijayaraghavan 39 3 0 26 Feb 2021
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model Nafiseh Ghoroghchian Gautam Dasarathy S. Draper 46 2 0 25 Feb 2021
Community Detection in Weighted Multilayer Networks with Ambient Noise Mark He Dylan Lu Jason Xu R. Xavier 76 0 0 24 Feb 2021
On the Fundamental Limits of Exact Inference in Structured Prediction Hanbyul Lee Kevin Bello Jean Honorio 16 0 0 17 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 152 76 0 13 Feb 2021
Community Detection: Exact Recovery in Weighted Graphs Mohammadjafar Esmaeili Aria Nosratinia 42 5 0 08 Feb 2021
A simpler spectral approach for clustering in directed networks Simon Coste Ludovic Stephan 28 4 0 05 Feb 2021
Community Detection with a Subsampled Semidefinite Program Pedro Abdalla Afonso S. Bandeira 28 6 0 02 Feb 2021
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection Jiajun Liang Chuyang Ke Jean Honorio 31 6 0 29 Jan 2021
Random Graph Matching with Improved Noise Robustness Cheng Mao M. Rudelson K. Tikhomirov 90 22 0 28 Jan 2021
Community Detection in the Stochastic Block Model by Mixed Integer Programming Breno Serrano Thibaut Vidal 105 6 0 26 Jan 2021
Exact Recovery of Community Structures Using DeepWalk and Node2vec Yichi Zhang M. Tang 42 2 0 18 Jan 2021
Consistent Bayesian Community Detection Sheng Jiang S. Tokdar 49 6 0 16 Jan 2021
Directed mixed membership stochastic blockmodel Huan Qing Jingli Wang 47 6 0 07 Jan 2021
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming D. Wu David R Palmer Daryl R. DeFord 18 1 0 06 Jan 2021
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases Francesca Tang Yang Feng Hamza Chiheb Jianqing Fan 29 13 0 06 Jan 2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning Di Jin Zhizhi Yu Pengfei Jiao Shirui Pan Dongxiao He Hongzhi Zhang Philip S. Yu Weixiong Zhang GNN 178 287 0 03 Jan 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 62 1 0 02 Jan 2021
Adjusted chi-square test for degree-corrected block models Linfan Zhang Arash A. Amini 51 6 0 30 Dec 2020
Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate Binomial and Poisson families and in multinomials J. Chhor Alexandra Carpentier 44 8 0 26 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks Wentao Zhao Dalin Zhou X. Qiu Wei Jiang 59 5 0 19 Dec 2020