Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures

30 December 2013

Papers citing "Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures"

32 / 32 papers shown

Title
Nested stochastic block model for simultaneously clustering networks and nodes Nathaniel Josephs Arash A. Amini M. Paez Lizhen Lin 32 4 0 18 Jul 2023
Computing Expected Motif Counts for Exchangeable Graph Generative Models Oliver Schulte 19 0 0 01 May 2023
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 29 10 0 30 Oct 2022
Exchangeable Laws in Borel Data Structures Julian Gerstenberg 16 0 0 23 Aug 2022
Anomalous Edge Detection in Edge Exchangeable Social Network Models Rui Luo Buddhika Nettasinghe Vikram Krishnamurthy 37 15 0 27 Sep 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 23 1 0 02 Jan 2021
Inference for high-dimensional exchangeable arrays Harold D. Chiang Kengo Kato Yuya Sasaki 34 12 0 10 Sep 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos Subhro Ghosh Krishnakumar Balasubramanian Xiaochuan Yang 16 3 0 07 Aug 2020
Manifold structure in graph embeddings Patrick Rubin-Delanchy 19 25 0 09 Jun 2020
Bayesian Nonparametric Space Partitions: A Survey Xuhui Fan Bin Li Ling Luo Scott A. Sisson 21 14 0 26 Feb 2020
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 24 23 0 18 Nov 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Correlation bounds, mixing and m-dependence under random time-varying network distances with an application to Cox-Processes Alexander Kreiss 21 3 0 07 Jun 2019
Scene Graph Prediction with Limited Labels V. Chen P. Varma Ranjay Krishna Michael S. Bernstein Christopher Ré Li Fei-Fei 16 86 0 25 Apr 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 256 0 06 Mar 2019
Snowboot: Bootstrap Methods for Network Inference Yuzhou Chen Yulia R. Gel V. Lyubchich Kusha Nezafati MLAU 11 13 0 24 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 17 56 0 11 Feb 2019
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks Benjamin Bloem-Reddy Adam Foster Emile Mathieu Yee Whye Teh 21 5 0 09 Jul 2018
Minimax optimal rates for Mondrian trees and forests Jaouad Mourtada Stéphane Gaïffas Erwan Scornet 44 49 0 15 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
Network Representation Using Graph Root Distributions Jing Lei 51 31 0 27 Feb 2018
Universal consistency and minimax rates for online Mondrian Forests Jaouad Mourtada Stéphane Gaïffas Erwan Scornet 44 16 0 08 Nov 2017
Centrality measures for graphons: Accounting for uncertainty in networks Marco Avella-Medina F. Parise Michael T. Schaub Santiago Segarra 39 77 0 28 Jul 2017
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model Yihua Li Devavrat Shah Dogyoon Song Chao Yu 15 22 0 13 May 2017
Edge-exchangeable graphs and sparsity (NIPS 2016) Diana Cai Trevor Campbell Tamara Broderick 13 51 0 16 Dec 2016
Sampling and Estimation for (Sparse) Exchangeable Graphs Victor Veitch Daniel M. Roy 20 49 0 02 Nov 2016
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities A. Todeschini Xenia Miscouridou François Caron 22 41 0 05 Feb 2016
A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel Kevin Patrick Murphy Volker Tresp E. Gabrilovich 33 1,561 0 02 Mar 2015
A unified view of generative models for networks: models, methods, opportunities, and challenges Abigail Z. Jacobs A. Clauset 49 31 0 14 Nov 2014
Poisson Latent Feature Calculus for Generalized Indian Buffet Processes Lancelot F. James 35 10 0 11 Nov 2014
Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes Mingyuan Zhou Oscar Hernan Madrid Padilla James G. Scott 61 29 0 12 Apr 2014