Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks

DOI10.1007/978-3-030-93413-2_47OpenAlexW4205185172MaRDI QIDQ5050379

Amani Abou Rida, Pierre Parrend, Rabih Amhaz

Publication date: 15 November 2022

Published in: Complex Networks & Their Applications X (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-93413-2_47

zbMATH Keywords

graph embeddinglink predictionanomaly detectiongraph analysisconvolutional graph neural networkinductive graph learning

Mathematics Subject Classification ID

Computer science (68-XX) Combinatorics (05-XX)

Uses Software

• node2vec

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