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Graph based anomaly detection and description: a survey.

, , and . Data Min. Knowl. Discov., 29 (3): 626-688 (2015)

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Anomaly detection in dynamic networks: a survey, , , , , and . Wiley Interdisciplinary Reviews: Computational Statistics, 7 (3): 223--247 (2015)Graph based anomaly detection and description: a survey., , and . Data Min. Knowl. Discov., 29 (3): 626-688 (2015)NetSimile: A Scalable Approach to Size-Independent Network Similarity, , , and . CoRR, (2012)SURREAL: SUbgraph Robust REpresentAtion Learning., , , and . CoRR, (2018)Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit., , , , , , and . CoRR, (2017)SpecGreedy: Unified Dense Subgraph Detection., , , , and . ECML/PKDD (1), volume 12457 of Lecture Notes in Computer Science, page 181-197. Springer, (2020)Leveraging the Graph Structure of Neural Network Training Dynamics., , , , and . CIKM, page 4545-4549. ACM, (2022)From Static to Dynamic Node Embeddings., , , and . CoRR, (2020)Analyzing Data-Centric Properties for Contrastive Learning on Graphs., , , , and . CoRR, (2022)Learning node embeddings via summary graphs: a brief theoretical analysis., , , , and . CoRR, (2022)