Graph autoencoder-based unsupervised outlier detection

Outlier detection technologies play an important role in various application domains. Most existing outlier detection algorithms have difficulty detecting outliers that are mixed within normal object regions or around dense clusters. To address this problem, we propose a novel graph neural network s...

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Bibliographic Details

Published in:	Information sciences Vol. 608; pp. 532 - 550
Main Authors:	Du, Xusheng, Yu, Jiong, Chu, Zheng, Jin, Lina, Chen, Jiaying
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2022
Subjects:	Anomaly detection Autoencoder Deep learning Graph neural networks Outlier detection Deep learning Outlier detection Graph neural networks Autoencoder Anomaly detection
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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