1 citations · 1 across the 8 of their papers we have counts for
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Graph Data Augmentation via Contrastive Generator Inversion ()
Mateusz Stolarski, Michał Czuba, Łukasz Kraiński +4
Graphs provide a natural representation of many complex systems, ranging from social platforms to ecosystems. However, the development of graph-based machine learning methods is of…
A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers
Ryan DeWolfe, Paweł Prałat, François Théberge
Clustering algorithms are an essential part of the unsupervised data science ecosystem, and extrinsic evaluation of clustering algorithms requires a method for comparing the detect…
Network Embedding Exploration Tool (NEExT)
Ashkan Dehghan, Paweł Prałat, François Théberge
Many real-world and artificial systems and processes can be represented as graphs. Some examples of such systems include social networks, financial transactions, supply chains, and…