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Raphtory: The temporal graph engine for Rust and Python

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arxiv 2306.16309 v2 pith:4WECYFBJ submitted 2023-06-28 cs.SI

Ben Steer , Naomi Arnold , Cheick Tidiane Ba , Renaud Lambiotte , Haaroon Yousaf , Lucas Jeub , Fabian Murariu , Shivam Kapoor
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Pedro Rico Rachel Chan Louis Chan James Alford Richard G. Clegg Felix Cuadrado Matthew Russell Barnes Peijie Zhong John N. Pougué Biyong Alhamza Alnaimi
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classification cs.SI
keywords raphtorybuiltenginenetworkspythonrusttemporalacademia
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Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their structure and evolution; and an extensible GraphQL server for deployment of applications built on top. Raphtory's core engine is built in Rust, for efficiency, with Python interfaces, for ease of use. Raphtory is developed by network scientists, with a background in Physics, Applied Mathematics, Engineering and Computer Science, for use across academia and industry.

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  1. A model for generating temporal networks with dynamic community structure guided by mutual information

    cs.SI 2026-07 conditional novelty 6.0 of 10

    Temporal network generator that explicitly tunes community similarity and node turnover via UAMI-guided genetic search plus SBM edge generation.

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