Prototype-oriented hypergraph representation learning for anomaly detection in tabular data

Author:

Li ShuORCID,Lu Yi,Jiu Shicheng,Huang Haoxiang,Yang Guangqi,Yu Jiong

Publisher

Elsevier BV

Reference53 articles.

1. Graph regularized autoencoder and its application in unsupervised anomaly detection;Ahmed;IEEE Transactions on Pattern Analysis and Machine Intelligence,2022

2. USAD: UnSupervised Anomaly Detection on multivariate time series;Audibert,2020

3. Scarf: Self-supervised contrastive learning using random feature corruption;Bahri;International Conference on Learning Representations (ICLR),2022

4. PAFormer: Anomaly detection of time series with parallel-attention transformer;Bai;IEEE Transactions on Neural Networks and Learning Systems,2023

5. Hypergraph convolution and hypergraph attention;Bai;Pattern Recognition,2021

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