2 citations · 2 across the 4 of their papers we have counts for
4 papers
Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph
Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore Trani
This work addresses community detection in temporal networks through GPU-accelerated extensions of spectral clustering and modularity-based algorithms originally designed for stati…
Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling
Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore Trani
This work focuses on the problem of learning on temporal graphs, with particular emphasis on the task of clustering: obtaining coarse-grained representations by aggregating informa…
Privacy Evaluation of Generative Models for Trajectory Generation
Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5
Trajectory data is fundamental to modern urban intelligence, yet its sensitivity raises significant privacy concerns. Generative models such as Generative Adversarial Networks, Var…
Power- and Fragmentation-aware Online Scheduling for GPU Datacenters
Francesco Lettich, Emanuele Carlini, Franco Maria Nardini +2
The rise of Artificial Intelligence and Large Language Models is driving increased GPU usage in data centers for complex training and inference tasks, impacting operational costs,…