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• W4319781311 abstract "We initiate an open-source library for the efficient analysis of temporal graphs. We consider one of the standard models of dynamic networks in which each edge has a discrete timestamp and transition time. Recently there has been a massive interest in analyzing such temporal graphs. Common computational data mining and analysis tasks include the computation of temporal distances, centrality measures, and network statistics like topological overlap, burstiness, or temporal diameter. To fulfill the increasing demand for efficient and easy-to-use imple-mentations of temporal graph algorithms, we introduce the open-source library Tglib,which integrates efficient data structures and algorithms for temporal graph analysis. Tglibis highly efficient and versatile, providing simple and convenient C++ and Python interfaces, targeting computer scientists, practitioners, students, and the (temporal) network research community." @default.
• W4319781311 created "2023-02-11" @default.
• W4319781311 creator A5012801992 @default.
• W4319781311 creator A5041881627 @default.
• W4319781311 date "2022-11-01" @default.
• W4319781311 modified "2023-10-16" @default.
• W4319781311 title "TGLib: An Open-Source Library for Temporal Graph Analysis" @default.
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• W4319781311 doi "https://doi.org/10.1109/icdmw58026.2022.00160" @default.
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