propagate: A Seed Propagation Framework to Compute Distance-Based Metrics on Very Large Graphs

Giambattista Amati, Antonio Cruciani, Daniele Pasquini, Paola Vocca, Simone Angelini. propagate: A Seed Propagation Framework to Compute Distance-Based Metrics on Very Large Graphs. In Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Volume 14171 of Lecture Notes in Computer Science, pages 671-688, Springer, 2023. [doi]

Authors

Giambattista Amati

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Antonio Cruciani

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Daniele Pasquini

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Paola Vocca

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Simone Angelini

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