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Anomaly detection in dynamic networks: a survey, , , , , and . Wiley Interdisciplinary Reviews: Computational Statistics, 7 (3): 223--247 (2015)Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data., , , , , , and . CoRR, (2020)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)Graph based anomaly detection and description: a survey., , and . Data Min. Knowl. Discov., 29 (3): 626-688 (2015)Net-Ray: Visualizing and Mining Billion-Scale Graphs., , , and . PAKDD (1), volume 8443 of Lecture Notes in Computer Science, page 348-361. Springer, (2014)Analyzing Data-Centric Properties for Contrastive Learning on Graphs., , , , and . CoRR, (2022)From Static to Dynamic Node Embeddings., , , and . CoRR, (2020)The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability.. Proc. VLDB Endow., 14 (13): 3416 (2021)