We did this project for an Optimization for Data Science class. In it, starting from the ideas from the paper "Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs" (Venturini et al,2023), we implemented from scratch in Python a Zeroth-Order Frank Wolfe algorithm for semi-supervised clustering in multilayer graphs, including an away-step variant, and performed similar tests to those in the paper, on the same datasets.
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