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cs.LG2026
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…
cs.LG2026
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…