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"

50 / 98 papers shown

Title
Causal Models for Growing Networks Gecia Bravo Hermsdorff L. Gunderson Kayvan Sadeghi 51 0 0 01 Apr 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
Graphons of Line Graphs Sevvandi Kandanaarachchi Cheng Soon Ong 34 0 0 03 Sep 2024
The Transferability of Downsamped Sparse Graph Convolutional Networks Qinji Shu Hang Sheng Feng Ji Hui Feng Bo Hu BDL 31 0 0 30 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 63 0 0 18 Aug 2024
Quantifying Multivariate Graph Dependencies: Theory and Estimation for Multiplex Graphs Anda Skeja S. Olhede GNN 18 2 0 23 May 2024
Exchangeability, prediction and predictive modeling in Bayesian statistics S. Fortini Sonia Petrone 9 6 0 15 Feb 2024
Hybrid of node and link communities for graphon estimation Arthur Verdeyme S. Olhede 25 1 0 10 Jan 2024
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 40 0 0 15 Dec 2023
A generalized Bayesian stochastic block model for microbiome community detection Kevin C. Lutz Michael L. Neugent Tejasv Bedi N. D. Nisco Qiwei Li 11 2 0 28 Aug 2023
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
Finite and infinite weighted exchangeable sequences Wenpin Tang 158 3 0 20 Jun 2023
Computing Expected Motif Counts for Exchangeable Graph Generative Models Oliver Schulte 29 0 0 01 May 2023
Entropy of Exchangeable Random Graphs Anda Skeja S. Olhede 23 0 0 03 Feb 2023
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 47 10 0 30 Oct 2022
Exchangeable Laws in Borel Data Structures Julian Gerstenberg 18 0 0 23 Aug 2022
Projectivity revisited Felix Weitkamper 29 2 0 01 Jul 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey Jiaqi Wen Bogdan Gabrys Katarzyna Musial AI4CE 42 30 0 15 Feb 2022
Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics Giovanni Rebaudo Qiaohui Lin Peter Mueller 6 8 0 14 Dec 2021
Anomalous Edge Detection in Edge Exchangeable Social Network Models Rui Luo Buddhika Nettasinghe Vikram Krishnamurthy 39 15 0 27 Sep 2021
Hierarchical Infinite Relational Model Feras A. Saad Vikash K. Mansinghka 16 5 0 16 Aug 2021
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning Kiarash Zahirnia A. Sakhuja Oliver Schulte P. Nadaf Ke Li Xia Hu 24 0 0 29 Jun 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
Can smooth graphons in several dimensions be represented by smooth graphons on $[0,1]$ ? S. Janson S. Olhede 11 4 0 19 Jan 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 23 1 0 02 Jan 2021
Identifying the latent space geometry of network models through analysis of curvature Shane Lubold Arun G. Chandrasekhar Tyler H. McCormick 19 27 0 19 Dec 2020
Robustness on Networks Marios Papamichalis Simón Lunagómez P. Wolfe 11 0 0 05 Dec 2020
Unsupervised Joint $k$ -node Graph Representations with Compositional Energy-Based Models Leonardo Cotta Carlos H. C. Teixeira A. Swami Bruno Ribeiro SSL 17 9 0 08 Oct 2020
Inference for high-dimensional exchangeable arrays Harold D. Chiang Kengo Kato Yuya Sasaki 42 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
Universal Graph Compression: Stochastic Block Models Alankrita Bhatt Ziao Wang Chi Wang Lele Wang 8 6 0 04 Jun 2020
Truncated Simulation and Inference in Edge-Exchangeable Networks Xinglong Li Trevor Campbell 9 1 0 17 May 2020
A Complete Characterization of Projectivity for Statistical Relational Models M. Jaeger Oliver Schulte 14 10 0 23 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 32 35 0 08 Apr 2020
Bayesian Nonparametric Space Partitions: A Survey Xuhui Fan Bin Li Ling Luo Scott A. Sisson 24 14 0 26 Feb 2020
Smoothing Graphons for Modelling Exchangeable Relational Data Xuhui Fan Yaqiong Li Ling-Hao Chen Bin Li Scott A. Sisson 8 3 0 25 Feb 2020
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 27 23 0 18 Nov 2019
Local Exchangeability Trevor Campbell Saifuddin Syed Chiao-Yu Yang Michael I. Jordan Tamara Broderick 16 1 0 22 Jun 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 24 3 0 07 Jun 2019
Random Function Priors for Correlation Modeling Aonan Zhang John Paisley 11 2 0 09 May 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
Toward Universal Testing of Dynamic Network Models Abram Magner W. Szpankowski 20 0 0 06 Apr 2019
The Binary Space Partitioning-Tree Process Xuhui Fan Bin Li Scott A. Sisson 6 29 0 22 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 16 8 0 21 Mar 2019
Rectangular Bounding Process Xuhui Fan Bin Li Scott A. Sisson 6 19 0 10 Mar 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 13 13 0 24 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 20 56 0 11 Feb 2019