19 citations · 23 across the 4 of their papers we have counts for
4 papers
Artificial Benchmark for Community Detection with Outliers (ABCD+o)
Bogumił Kamiński, Paweł Prałat, François Théberge
The Artificial Benchmark for Community Detection graph (ABCD) is a random graph model with community structure and power-law distribution for both degrees and community sizes. The…
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)
Bogumił Kamiński, Paweł Prałat, François Théberge
The Artificial Benchmark for Community Detection (ABCD) graph is a recently introduced random graph model with community structure and power-law distribution for both degrees and c…
Properties and Performance of the ABCDe Random Graph Model with Community Structure
Bogumił Kamiński, Tomasz Olczak, Bartosz Pankratz +2
In this paper, we investigate properties and performance of synthetic random graph models with a built-in community structure. Such models are important for evaluating and tuning c…
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs
Bogumił Kamiński, Łukasz Kraiński, Paweł Prałat +1
Graph embedding is a transformation of nodes of a network into a set of vectors. A good embedding should capture the underlying graph topology and structure, node-to-node relations…