Author

V. L. S. Freitas

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#machine learning Preprint Sep 2026

HCPN-GCN: Scaling Hierarchical Prototype Networks with Cone Geometry for Continual Graph Learning

Continual Graph Learning (CGL) aims to incrementally learn from graph-structured data while preserving knowledge acquired from previous tasks. A major challenge in this setting is catastrophic forgetting, where learning new tasks degrades performance on previously learned ones. Hierarchical Prototype Networks (HPNs) ad...

S. Silva, V. L. S. Freitas, Gladston J. P. Moreira et al. · 0 citations

Preprint Aug 2026

Structure, Topics, and Diffusion Effects of Bluesky Starter Packs

A large-scale empirical analysis of more than 50,000 English-language starter packs and over 600,000 associated users shows that starter packs form a highly interconnected ecosystem with substantial overlap across packs that largely reflects pre-existing communities.

Andrea Failla, V. L. S. Freitas, Giulio Rossetti et al. · 1 citation