Scholars@Duke publication: Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks

Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks

Publication , Preprint

Gu, J; Zou, D

March 6, 2024

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Duke Scholars

Author Dongmian Zou DKU Faculty

Publication Date

March 6, 2024

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Gu, J., & Zou, D. (2024). Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks.

Gu, Jing, and Dongmian Zou. “Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks,” March 6, 2024.

Gu J, Zou D. Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. 2024.

Gu, Jing, and Dongmian Zou. Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. 6 Mar. 2024.

Gu J, Zou D. Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. 2024.

Publication Date

March 6, 2024