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Fast Library Recommendation in Software Dependency Graphs with Symmetric Partially Absorbing Random Walks

To help developers discover libraries suited to their software projects, automated approaches often start from already employed libraries and recommend more based on co-occurrence patterns in other projects. The most accurate project–library recommendation systems employ Graph Neural Networks (GNNs)...

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Principais autores: Emmanouil Krasanakis, Andreas Symeonidis
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2022-04-01
סדרה:Future Internet
נושאים:
Software Library Recommendation
graph filters
dependency graphs
link prediction
גישה מקוונת:https://www.mdpi.com/1999-5903/14/5/124
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