83 citations · 108 across the 9 of their papers we have counts for
3 papers · 1 filter
Self-similarity of Communities of the ABCD Model
Jordan Barrett, Bogumil Kaminski, Pawel Pralat +1
The Artificial Benchmark for Community Detection (ABCD) graph is a random graph model with community structure and power-law distribution for both degrees and community sizes. The…
Predicting Properties of Nodes via Community-Aware Features
Bogumił Kamiński, Paweł Prałat, François Théberge +1
This paper shows how information about the network's community structure can be used to define node features with high predictive power for classification tasks. To do so, we defin…
Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphs
Ashkan Dehghan, Kinga Siuta, Agata Skorupka +4
An embedding is a mapping from a set of nodes of a network into a real vector space. Embeddings can have various aims like capturing the underlying graph topology and structure, no…