arXiv Machine Learning August 5, 2026 By Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore Trani

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

Read the original on arXiv Machine Learning →

arXiv:2608. 03696v1 Announce Type: new Abstract: 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 information from nodes, edges, and temporal dynamics - a task related to pooling in machine learning on graphs, or community detection in network science.

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