AI Synergies


Alex Mattenet

PhD Student

Generic Constraint-based Block Modeling using Constraint Programming

Block Modeling is a problem from the social sciences related to graph clustering. In this work, we present a solver for the Block Modeling problem implemented in the Constraint Programming framework. We show that our solver outperforms the state of the art and can be easily extended with more constraints.


Alex Mattenet is a PhD student at the INGI department at UCLouvain, Belgium. Her current work focuses on the application of machine learning and data mining systems with fairness constraints to graphs and networks. 


Syrah room
Research presentations AI
Day 2 - Nov 7th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

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