Author

P. Moriano

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#machine learning Open access May 2024

Robustness of shallow graph embedding methods for community detection

The robustness of shallow graph embedding methods for community detection in the face of network perturbations is found to be influenced by factors such as network size, initial community partition strength, and the type of perturbation.

Zhi-Feng Wei, P. Moriano, Ramakrishnan Kannan · Applied Network Science · 3 citations

#machine learning Preprint Feb 2026

Community Concealment from Graph Neural Networks

Feature-Community-guided DICE (FCom-DICE), a perturbation strategy built on DICE that rewires a set of structurally influential edges and adjusts node features to reduce the distinctiveness exploited by GNN message passing is introduced.

Dalyapraz Manatova, P. Moriano, L. J. Camp · 0 citations