ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks

DOI10.1007/S10994-021-06044-0OpenAlexW3196686803MaRDI QIDQ2127247

Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy, Yulong Pei

Publication date: 20 April 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.14738

zbMATH Keywords

anomaly detectionattention mechanismgraph convolutional networkattributed networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

ResGCN

Uses Software

• outliernmf
• LOF
• Adam

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