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An Algorithm for Mining Frequent Approximate Subgraphs with Structural and Label Variations in Graph Collections

Using graphs as a data structure is a simple way to represent relationships between objects. Consequently, it has raised the need for algorithms to process, analyze, and extract meaningful information from graphs. Therefore, frequent subgraph mining (FSM) algorithms have been reported in the literat...

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Principais autores: Daybelis Jaramillo-Olivares, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2025-07-01
סדרה:Applied Sciences
נושאים:
graph mining
frequent approximate subgraphs
pattern mining
structural variations
label variations
גישה מקוונת:https://www.mdpi.com/2076-3417/15/14/7880
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