Graph Convolutional Networks and Attention-Based Outlier Detection

Graph Convolutional Networks and Attention-Based Outlier Detection

Outlier detection is a significant research direction in machine learning and has many applications in finance, network security, and other areas. Outlier detection of Euclidean datasets is a mainstream problem in outlier detection. Most detection methods often ignore the connection of its nodes. To...

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Bibliographic Details
Main Authors: Rui Qiu, Xusheng Du, Jiong Yu, Jiaying Wu, Shu Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Outlier detection
graph convolutional network
directed graph
attention mechanism
feature fusion
Online Access:https://ieeexplore.ieee.org/document/9825649/

Internet

https://ieeexplore.ieee.org/document/9825649/

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