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1512.03099
Cited By
The Class of Random Graphs Arising from Exchangeable Random Measures
7 December 2015
Victor Veitch
Daniel M. Roy
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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
42
5
0
13 Apr 2022
Random Graphs by Product Random Measures
C. Bastian
H. Rabitz
36
1
0
27 Mar 2022
Asymptotics of
ℓ
2
\ell_2
ℓ
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
61
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
41
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
62
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
56
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
56
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
51
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
60
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
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