Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Author:
Affiliation:
1. Washington State University, Pullman, WA, USA
2. NEC Laboratories America, Inc., Princeton, NJ, USA
3. Amazon, Inc., Palo Alto, CA, USA
4. Stellar Cyber, Inc., Santa Clara, CA, USA
5. Peking University, Beijing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3481955
Reference54 articles.
1. Graph based anomaly detection and description: a survey
2. LOF
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