ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1602.02114
  4. Cited By
Exchangeable Random Measures for Sparse and Modular Graphs with
  Overlapping Communities
v1v2 (latest)

Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities

5 February 2016
A. Todeschini
Xenia Miscouridou
François Caron
ArXiv (abs)PDFHTML

Papers citing "Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities"

21 / 21 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
34
0
0
19 May 2025
A Local Perspective-based Model for Overlapping Community Detection
A Local Perspective-based Model for Overlapping Community Detection
Gaofeng Zhou
Rui-Feng Wang
Kangning Cui
60
2
0
27 Mar 2025
Random signed measures
Random signed measures
Riccardo Passeggeri
119
0
0
19 Nov 2024
Bayesian Analysis of Generalized Hierarchical Indian Buffet Processes
  for Within and Across Group Sharing of Latent Features
Bayesian Analysis of Generalized Hierarchical Indian Buffet Processes for Within and Across Group Sharing of Latent Features
Lancelot F. James
Juho Lee
Abhinav Pandey
75
0
0
11 Apr 2023
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN
Md Nurul Muttakin
Md. Iqbal Hossain
Md Saidur Rahman
GNN
95
2
0
20 Oct 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric
  Graph Model
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model
Yirui Liu
Xinghao Qiao
Liying Wang
Jessica Lam
BDL
88
3
0
12 Aug 2022
A Survey on Machine Learning Solutions for Graph Pattern Extraction
A Survey on Machine Learning Solutions for Graph Pattern Extraction
Kai Siong Yow
Ningyi Liao
Siqiang Luo
Reynold Cheng
Chenhao Ma
Xiaolin Han
101
3
0
03 Apr 2022
Blessing of Dependence: Identifiability and Geometry of Discrete Models
  with Multiple Binary Latent Variables
Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
Yuqi Gu
103
6
0
08 Mar 2022
Latent structure blockmodels for Bayesian spectral graph clustering
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino
N. Heard
69
1
0
04 Jul 2021
Asymptotic Behavior of Common Connections in Sparse Random Networks
Asymptotic Behavior of Common Connections in Sparse Random Networks
Bikramjit Das
Tiandong Wang
Gengling Dai
26
0
0
15 Jun 2021
Truncated Simulation and Inference in Edge-Exchangeable Networks
Truncated Simulation and Inference in Edge-Exchangeable Networks
Xinglong Li
Trevor Campbell
48
1
0
17 May 2020
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
75
133
0
26 Sep 2019
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
370
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
42
4
0
03 Oct 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
Projective, Sparse, and Learnable Latent Position Network Models
Projective, Sparse, and Learnable Latent Position Network Models
Neil A. Spencer
C. Shalizi
68
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
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
51
8
0
08 Mar 2017
Sampling and Estimation for (Sparse) Exchangeable Graphs
Sampling and Estimation for (Sparse) Exchangeable Graphs
Victor Veitch
Daniel M. Roy
62
49
0
02 Nov 2016
Modelling and computation using NCoRM mixtures for density regression
Modelling and computation using NCoRM mixtures for density regression
Jim Griffin
Fabrizio Leisen
91
12
0
02 Aug 2016
Bayesian Nonparametrics for Sparse Dynamic Networks
Bayesian Nonparametrics for Sparse Dynamic Networks
Cian Naik
François Caron
Judith Rousseau
Yee Whye Teh
Konstantina Palla
154
8
0
06 Jul 2016
1