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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Podrobná bibliografie

Hlavní autoři:	Emmanouil Krasanakis, Andreas Symeonidis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-04-01
Edice:	Future Internet
Témata:	Software Library Recommendation graph filters dependency graphs link prediction
On-line přístup:	https://www.mdpi.com/1999-5903/14/5/124
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