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Artificial Benchmark for Community Detection (ABCD): Fast Random Graph
  Model with Community Structure

Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure

Network Science (NS), 2020
14 January 2020
Bogumil Kamiñski
P. Prałat
F. Théberge
ArXiv (abs)PDFHTML

Papers citing "Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure"

14 / 14 papers shown
Title
Robust Markov stability for community detection at a scale learned based on the structure
Robust Markov stability for community detection at a scale learned based on the structureProceedings of the ACM on Human-Computer Interaction (PACMHCI), 2025
Samin Aref
Sanchaai Mathiyarasan
96
1
0
15 Apr 2025
Network Embedding Exploration Tool (NEExT)
Network Embedding Exploration Tool (NEExT)
Ashkan Dehghan
P. Prałat
F. Théberge
GNN
114
0
0
20 Mar 2025
Modularity Based Community Detection in Hypergraphs
Modularity Based Community Detection in Hypergraphs
Bogumił Kamiński
Paweł Misiorek
P. Prałat
François Théberge
86
9
0
25 Jun 2024
Self-similarity of Communities of the ABCD Model
Self-similarity of Communities of the ABCD ModelWorkshop on Algorithms and Models for the Web-Graph (WAW), 2023
Jordan Barrett
B. Kamiński
P. Prałat
F. Théberge
50
5
0
30 Nov 2023
Predicting Properties of Nodes via Community-Aware Features
Predicting Properties of Nodes via Community-Aware Features
B. Kamiński
P. Prałat
F. Théberge
Sebastian Zajac
159
2
0
08 Nov 2023
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph
  Neural Network Algorithms for Community Detection
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community DetectionJournal of Computer Science (JCS), 2023
Samin Aref
Mahdi Mostajabdaveh
90
13
0
17 Oct 2023
Asynchronous Majority Dynamics on Binomial Random Graphs
Asynchronous Majority Dynamics on Binomial Random GraphsInternational Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM), 2023
Divyarthi Mohan
Pawel Pralat
63
1
0
09 Sep 2023
Artificial Benchmark for Community Detection with Outliers (ABCD+o)
Artificial Benchmark for Community Detection with Outliers (ABCD+o)Applied Network Science (Appl Netw Sci), 2023
Bogumil Kamiñski
P. Prałat
F. Théberge
70
14
0
13 Jan 2023
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)
Bogumil Kamiñski
P. Prałat
F. Théberge
212
22
0
26 Oct 2022
Properties and Performance of the ABCDe Random Graph Model with
  Community Structure
Properties and Performance of the ABCDe Random Graph Model with Community StructureBig Data Research (BDR), 2022
Bogumil Kamiñski
Tomasz Olczak
Bartosz Pankratz
P. Prałat
Franccois Théberge
39
13
0
28 Mar 2022
Modularity of the ABCD Random Graph Model with Community Structure
Modularity of the ABCD Random Graph Model with Community Structure
B. Kamiński
Bartosz Pankratz
P. Prałat
F. Théberge
43
17
0
03 Mar 2022
Survey of Generative Methods for Social Media Analysis
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amilcar Soares
Franccois Théberge
82
8
0
13 Dec 2021
A Multi-purposed Unsupervised Framework for Comparing Embeddings of
  Undirected and Directed Graphs
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs
Bogumil Kamiñski
Ł. Kraiński
P. Prałat
F. Théberge
97
8
0
30 Nov 2021
Evaluating Node Embeddings of Complex Networks
Evaluating Node Embeddings of Complex Networks
Arash Dehghan-Kooshkghazi
Bogumil Kamiñski
Lukasz Kraiñski
P. Prałat
F. Théberge
GNN
86
20
0
16 Feb 2021
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