Author

Emanuele Carlini

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Preprint Aug 2026

Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph

This work addresses community detection in temporal networks through GPU-accelerated extensions of spectral clustering and modularity-based algorithms originally designed for static graphs, and demonstrates its applicability on real-world and synthetic datasets, facilitating exploratory analysis of structural network p...

Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore Trani · 1 citation

Preprint Aug 2026

Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling

Making temporal clustering scalable, GPU-accelerated primitives suggest a route toward theory-grounded pooling, while raising a central question: when does community-based coarse-graining preserve the dynamics needed for downstream learning tasks?

Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore Trani · 0 citations