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Evaluating Overfit and Underfit in Models of Network Community Structure

Evaluating Overfit and Underfit in Models of Network Community Structure

28 February 2018
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
ArXivPDFHTML

Papers citing "Evaluating Overfit and Underfit in Models of Network Community Structure"

27 / 27 papers shown
Title
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction
Bojan Lukić
37
0
0
08 Mar 2025
Machine Unlearning in Contrastive Learning
Machine Unlearning in Contrastive Learning
Zixin Wang
Kongyang Chen
MU
SSL
14
0
0
12 May 2024
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
Kazuki Nakajima
Takeaki Uno
48
1
0
01 Jan 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural
  Networks
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker
Chester Tan
Ingo Scholtes
19
1
0
02 Oct 2023
Exact and rapid linear clustering of networks with dynamic programming
Exact and rapid linear clustering of networks with dynamic programming
Alice Patania
Antoine Allard
Jean-Gabriel Young
11
7
0
25 Jan 2023
Implicit models, latent compression, intrinsic biases, and cheap lunches
  in community detection
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto
Alec Kirkley
28
12
0
17 Oct 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as
  Relational Inductive Biases
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Mingxiao Li
Yihong Tang
Wei-Ying Ma
GNN
AI4TS
21
9
0
08 Mar 2022
Systematic assessment of the quality of fit of the stochastic block
  model for empirical networks
Systematic assessment of the quality of fit of the stochastic block model for empirical networks
Felipe Vaca-Ramírez
Tiago P. Peixoto
27
8
0
05 Jan 2022
Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
22
44
0
30 Nov 2021
Opportunities and challenges in partitioning the graph measure space of
  real-world networks
Opportunities and challenges in partitioning the graph measure space of real-world networks
Máté Józsa
Alpár S. Lázár
Zs.I. Lázár
11
0
0
20 Jun 2021
Overcoming Bias in Community Detection Evaluation
Overcoming Bias in Community Detection Evaluation
J. C. Leão
Alberto H. F. Laender
Pedro O. S. Vaz de Melo Instituto Federal do Norte de Mi Gerais
17
3
0
06 Feb 2021
Disentangling homophily, community structure and triadic closure in
  networks
Disentangling homophily, community structure and triadic closure in networks
Tiago P. Peixoto
23
36
0
07 Jan 2021
Statistical inference of assortative community structures
Statistical inference of assortative community structures
Lizhi Zhang
Tiago P. Peixoto
6
38
0
25 Jun 2020
Revealing consensus and dissensus between network partitions
Revealing consensus and dissensus between network partitions
Tiago P. Peixoto
14
40
0
28 May 2020
Latent Poisson models for networks with heterogeneous density
Latent Poisson models for networks with heterogeneous density
Tiago P. Peixoto
25
10
0
18 Feb 2020
On a scalable entropic breaching of the overfitting barrier in machine
  learning
On a scalable entropic breaching of the overfitting barrier in machine learning
I. Horenko
8
1
0
08 Feb 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels
Community Detection in Bipartite Networks with Stochastic Blockmodels
Tzu-Chi Yen
D. Larremore
26
26
0
22 Jan 2020
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian
Homa Hosseinmardi
Aram Galstyan
E. Airoldi
A. Clauset
11
128
0
17 Sep 2019
Benchmarks for Graph Embedding Evaluation
Benchmarks for Graph Embedding Evaluation
Palash Goyal
Di Huang
Ankita Goswami
Sujit Rokka Chhetri
A. Canedo
Emilio Ferrara
17
15
0
19 Aug 2019
Community structure: A comparative evaluation of community detection
  methods
Community structure: A comparative evaluation of community detection methods
Vinh-Loc Dao
Cécile Bothorel
P. Lenca
17
59
0
14 Dec 2018
Link Prediction in Networks with Core-Fringe Data
Link Prediction in Networks with Core-Fringe Data
Austin R. Benson
Jon M. Kleinberg
11
16
0
28 Nov 2018
Universality of the stochastic block model
Universality of the stochastic block model
Jean-Gabriel Young
G. St‐Onge
P. Desrosiers
Louis J. Dubé
27
30
0
11 Jun 2018
Stochastic Block Models are a Discrete Surface Tension
Stochastic Block Models are a Discrete Surface Tension
Z. Boyd
M. A. Porter
Andrea L. Bertozzi
14
6
0
07 Jun 2018
Simplicial Closure and higher-order link prediction
Simplicial Closure and higher-order link prediction
Austin R. Benson
Rediet Abebe
Michael T. Schaub
Ali Jadbabaie
Jon M. Kleinberg
AI4CE
8
487
0
20 Feb 2018
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
45
200
0
19 Dec 2012
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
92
0
0
11 Oct 2012
Communities in Networks
Communities in Networks
M. A. Porter
J. Onnela
P. Mucha
GNN
88
1,071
0
22 Feb 2009
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