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Edge-exchangeable graphs and sparsity (NIPS 2016)
v1v2 (latest)

Edge-exchangeable graphs and sparsity (NIPS 2016)

16 December 2016
Diana Cai
Trevor Campbell
Tamara Broderick
ArXiv (abs)PDFHTML

Papers citing "Edge-exchangeable graphs and sparsity (NIPS 2016)"

26 / 26 papers shown
Title
Learning cross-layer dependence structure in multilayer networks
Learning cross-layer dependence structure in multilayer networks
Jiaheng Li
J. Stewart
65
0
0
27 Jul 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
Daniel de Souza Severo
James Townsend
Ashish Khisti
Alireza Makhzani
63
2
0
16 May 2023
Using Embeddings for Causal Estimation of Peer Influence in Social
  Networks
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali
Victor Veitch
CML
66
12
0
17 May 2022
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
60
14
0
06 Aug 2021
Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a
  Stock Ownership Network
Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network
Wenning Zhang
Ryohei Hisano
T. Ohnishi
Takayuki Mizuno
31
1
0
08 Sep 2020
Truncated Simulation and Inference in Edge-Exchangeable Networks
Truncated Simulation and Inference in Edge-Exchangeable Networks
Xinglong Li
Trevor Campbell
57
1
0
17 May 2020
The general theory of permutation equivarant neural networks and higher
  order graph variational encoders
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Erik H. Thiede
Truong-Son Hy
Risi Kondor
63
35
0
08 Apr 2020
Non-exchangeable feature allocation models with sublinear growth of the
  feature sizes
Non-exchangeable feature allocation models with sublinear growth of the feature sizes
Giuseppe Di Benedetto
François Caron
Yee Whye Teh
16
5
0
30 Mar 2020
Introducing Graph Cumulants: What is the Variance of Your Social
  Network?
Introducing Graph Cumulants: What is the Variance of Your Social Network?
L. Gunderson
Gecia Bravo Hermsdorff
30
6
0
10 Feb 2020
Local Exchangeability
Local Exchangeability
Trevor Campbell
Saifuddin Syed
Chiao-Yu Yang
Michael I. Jordan
Tamara Broderick
65
1
0
22 Jun 2019
Sequential Edge Clustering in Temporal Multigraphs
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi
H. Mahyar
Radu Grosu
Graham W. Taylor
Sinead Williamson
158
0
0
28 May 2019
A unified construction for series representations and finite
  approximations of completely random measures
A unified construction for series representations and finite approximations of completely random measures
Juho Lee
Xenia Miscouridou
François Caron
57
7
0
26 May 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
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
The Four Point Permutation Test for Latent Block Structure in Incidence
  Matrices
The Four Point Permutation Test for Latent Block Structure in Incidence Matrices
R. Darling
Cheyne Homberger
23
0
0
04 Oct 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
53
4
0
03 Oct 2018
Limit theorems for invariant distributions
Limit theorems for invariant distributions
Morgane Austern
Peter Orbanz
25
2
0
27 Jun 2018
Dynamic Network Model from Partial Observations
Dynamic Network Model from Partial Observations
Elahe Ghalebi
Baharan Mirzasoleiman
Radu Grosu
J. Leskovec
33
13
0
27 May 2018
Preferential Attachment and Vertex Arrival Times
Preferential Attachment and Vertex Arrival Times
Benjamin Bloem-Reddy
Peter Orbanz
43
12
0
05 Oct 2017
A note on quickly sampling a sparse matrix with low rank expectation
A note on quickly sampling a sparse matrix with low rank expectation
Karl Rohe
Jun Tao
Xintian Han
Norbert Binkiewicz
59
8
0
08 Mar 2017
Random Walk Models of Network Formation and Sequential Monte Carlo
  Methods for Graphs
Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs
Benjamin Bloem-Reddy
Peter Orbanz
65
21
0
19 Dec 2016
Exchangeable Trait Allocations
Exchangeable Trait Allocations
Trevor Campbell
Diana Cai
Tamara Broderick
71
27
0
28 Sep 2016
Relational exchangeability
Relational exchangeability
Harry Crane
Walter Dempsey
48
7
0
22 Jul 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
Priors on exchangeable directed graphs
Priors on exchangeable directed graphs
Diana Cai
N. Ackerman
Cameron E. Freer
75
7
0
28 Oct 2015
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