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cs.AI2024
Hierarchical Blockmodelling for Knowledge Graphs
Marcin Pietrasik, Marek Reformat, Anna Wilbik
In this paper, we investigate the use of probabilistic graphical models, specifically stochastic blockmodels, for the purpose of hierarchical entity clustering on knowledge graphs.…
cs.AI2021
Path Based Hierarchical Clustering on Knowledge Graphs
Marcin Pietrasik, Marek Reformat
Knowledge graphs have emerged as a widely adopted medium for storing relational data, making methods for automatically reasoning with them highly desirable. In this paper, we prese…