3 citations · 3 across the 3 of their papers we have counts for
4 papers
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.…
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…
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
Zheng Yu, Xuhui Fan, Marcin Pietrasik +1
The Mixed-Membership Stochastic Blockmodel~(MMSB) is proposed as one of the state-of-the-art Bayesian relational methods suitable for learning the complex hidden structure underlyi…
Animal Detection in Man-made Environments
Abhineet Singh, Marcin Pietrasik, Gabriell Natha +3
Automatic detection of animals that have strayed into human inhabited areas has important security and road safety applications. This paper attempts to solve this problem using dee…