The Class of Random Graphs Arising from Exchangeable Random Measures

7 December 2015

Papers citing "The Class of Random Graphs Arising from Exchangeable Random Measures"

45 / 45 papers shown

Title
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks Valentin Kilian Benjamin Guedj François Caron 37 0 0 19 May 2025
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 115 0 0 18 Aug 2024
Network and interaction models for data with hierarchical granularity via fragmentation and coagulation Lancelot F. James Juho Lee Nathan Ross 50 0 0 09 Aug 2024
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach Christian Fabian Kai Cui Heinz Koeppl 53 0 0 23 Jan 2024
Node Copying: A Random Graph Model for Effective Graph Sampling Florence Regol Soumyasundar Pal Jianing Sun Yingxue Zhang Yanhui Geng Mark Coates 75 5 0 04 Aug 2022
Grand canonical ensembles of sparse networks and Bayesian inference G. Bianconi 37 5 0 13 Apr 2022
Random Graphs by Product Random Measures C. Bastian H. Rabitz 36 1 0 27 Mar 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 96 0 0 05 Jan 2022
Asymptotic Behavior of Common Connections in Sparse Random Networks Bikramjit Das Tiandong Wang Gengling Dai 31 0 0 15 Jun 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 75 35 0 11 Jun 2021
Robustness on Networks Marios Papamichalis Simón Lunagómez P. Wolfe 38 0 0 05 Dec 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 122 5 0 10 Jul 2020
Manifold structure in graph embeddings Patrick Rubin-Delanchy 75 25 0 09 Jun 2020
Truncated Simulation and Inference in Edge-Exchangeable Networks Xinglong Li Trevor Campbell 59 1 0 17 May 2020
Subsampling Sparse Graphons Under Minimal Assumptions Robert Lunde Purnamrita Sarkar 67 21 0 29 Jul 2019
Local Exchangeability Trevor Campbell Saifuddin Syed Chiao-Yu Yang Michael I. Jordan Tamara Broderick 65 1 0 22 Jun 2019
Random Function Priors for Correlation Modeling Aonan Zhang John Paisley 50 2 0 09 May 2019
Stochastic Blockmodels with Edge Information G. W. Cole Sinead Williamson 28 0 0 03 Apr 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 91 58 0 11 Feb 2019
A Generalization of Hierarchical Exchangeability on Trees to Directed Acyclic Graphs Paul Jung Jiho Lee S. Staton Hongseok Yang 58 9 0 15 Dec 2018
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing Chao Gao Zongming Ma 374 35 0 14 Nov 2018
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure Juho Lee Lancelot F. James Seungjin Choi François Caron 60 4 0 03 Oct 2018
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks Benjamin Bloem-Reddy Adam Foster Emile Mathieu Yee Whye Teh 69 5 0 09 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data Victor Veitch Morgane Austern Wenda Zhou David M. Blei Peter Orbanz 74 9 0 27 Jun 2018
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data Xenia Miscouridou François Caron Yee Whye Teh 46 20 0 16 Mar 2018
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization Victor Veitch Ekansh Sharma Zacharie Naulet Daniel M. Roy 39 1 0 06 Dec 2017
Bootstrap estimators for the tail-index and for the count statistics of graphex processes Zacharie Naulet Daniel M. Roy Ekansh Sharma Victor Veitch 57 3 0 05 Dec 2017
Iterative Collaborative Filtering for Sparse Matrix Estimation C. Borgs J. Chayes Devavrat Shah Christina E. Lee 278 39 0 03 Dec 2017
Classification on Large Networks: A Quantitative Bound via Motifs and Graphons Andreas A. Haupt Mohammad Khatami T. Schultz N. Tran 34 2 0 24 Oct 2017
Subsampling large graphs and invariance in networks Peter Orbanz 81 24 0 11 Oct 2017
Preferential Attachment and Vertex Arrival Times Benjamin Bloem-Reddy Peter Orbanz 52 12 0 05 Oct 2017
Projective, Sparse, and Learnable Latent Position Network Models Neil A. Spencer C. Shalizi 72 3 0 27 Sep 2017
On sparsity, power-law and clustering properties of graphex processes François Caron F. Panero Judith Rousseau 84 11 0 10 Aug 2017
Centrality measures for graphons: Accounting for uncertainty in networks Marco Avella-Medina F. Parise Michael T. Schaub Santiago Segarra 118 80 0 28 Jul 2017
Sparse Maximum-Entropy Random Graphs with a Given Power-Law Degree Distribution P. van der Hoorn Gábor Lippner D. Krioukov 48 31 0 29 May 2017
Bayesian inference on random simple graphs with power law degree distributions Juho Lee Creighton Heaukulani Zoubin Ghahramani Lancelot F. James Seungjin Choi 48 4 0 27 Feb 2017
Edge-exchangeable graphs and sparsity (NIPS 2016) Diana Cai Trevor Campbell Tamara Broderick 86 51 0 16 Dec 2016
Sampling and Estimation for (Sparse) Exchangeable Graphs Victor Veitch Daniel M. Roy 64 49 0 02 Nov 2016
Exchangeable Trait Allocations Trevor Campbell Diana Cai Tamara Broderick 95 27 0 28 Sep 2016
Bayesian Nonparametrics for Sparse Dynamic Networks Cian Naik François Caron Judith Rousseau Yee Whye Teh Konstantina Palla 159 8 0 06 Jul 2016
Edge-exchangeable graphs and sparsity Tamara Broderick Diana Cai 57 38 0 22 Mar 2016
Edge exchangeable models for network data Harry Crane Walter Dempsey 147 39 0 15 Mar 2016
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities A. Todeschini Xenia Miscouridou François Caron 146 43 0 05 Feb 2016
Priors on exchangeable directed graphs Diana Cai N. Ackerman Cameron E. Freer 75 7 0 28 Oct 2015
A framework for statistical network modeling Harry Crane Walter Dempsey 115 38 0 28 Sep 2015