Condensed summary of graph anomaly detection methods and their key strengths and limitations.

Condensed summary of graph anomaly detection methods and their key strengths and limitations.

<p>Condensed summary of graph anomaly detection methods and their key strengths and limitations.</p>

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Bibliografische gegevens
Hoofdauteur:	Hossein Rafieizadeh (22676722) (author)
Andere auteurs:	Hadi Zare (20073000) (author), Mohsen Ghassemi Parsa (22676725) (author), Hocine Cherifi (8177628) (author)
Gepubliceerd in:	2025
Onderwerpen:	Cell Biology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified intrusions across social reconstructions across views level contrastive learning dual contrastive learning across six benchmarks div >< p view discrepancies underutilized augmented graph views dcor improves auroc view discrepancies level contrast dual autoencoder augmented view specific information six datasets reduces auroc publicly available preserves fine physical domains performing non maximum gain leaving cross identifying threats financial fraud existing graph dcor reconstructs dcor ), contrasts reconstructions attributed networks attribute patterns
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