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The Class of Random Graphs Arising from Exchangeable Random Measures

The Class of Random Graphs Arising from Exchangeable Random Measures

7 December 2015
Victor Veitch
Daniel M. Roy
ArXiv (abs)PDFHTML

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
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
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
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
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
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
Grand canonical ensembles of sparse networks and Bayesian inference
G. Bianconi
37
5
0
13 Apr 2022
Random Graphs by Product Random Measures
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 ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
96
0
0
05 Jan 2022
Asymptotic Behavior of Common Connections in Sparse Random Networks
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
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
Robustness on Networks
Marios Papamichalis
Simón Lunagómez
P. Wolfe
38
0
0
05 Dec 2020
Next Waves in Veridical Network Embedding
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
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
75
25
0
09 Jun 2020
Truncated Simulation and Inference in Edge-Exchangeable Networks
Truncated Simulation and Inference in Edge-Exchangeable Networks
Xinglong Li
Trevor Campbell
59
1
0
17 May 2020
Subsampling Sparse Graphons Under Minimal Assumptions
Subsampling Sparse Graphons Under Minimal Assumptions
Robert Lunde
Purnamrita Sarkar
67
21
0
29 Jul 2019
Local Exchangeability
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
Random Function Priors for Correlation Modeling
Aonan Zhang
John Paisley
50
2
0
09 May 2019
Stochastic Blockmodels with Edge Information
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
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
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
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
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
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
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
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
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
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
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
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
Subsampling large graphs and invariance in networks
Peter Orbanz
81
24
0
11 Oct 2017
Preferential Attachment and Vertex Arrival Times
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
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
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
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
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
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)
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
Sampling and Estimation for (Sparse) Exchangeable Graphs
Victor Veitch
Daniel M. Roy
64
49
0
02 Nov 2016
Exchangeable Trait Allocations
Exchangeable Trait Allocations
Trevor Campbell
Diana Cai
Tamara Broderick
95
27
0
28 Sep 2016
Bayesian Nonparametrics for Sparse Dynamic Networks
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
Edge-exchangeable graphs and sparsity
Tamara Broderick
Diana Cai
57
38
0
22 Mar 2016
Edge exchangeable models for network data
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
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
Priors on exchangeable directed graphs
Diana Cai
N. Ackerman
Cameron E. Freer
75
7
0
28 Oct 2015
A framework for statistical network modeling
A framework for statistical network modeling
Harry Crane
Walter Dempsey
115
38
0
28 Sep 2015
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