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FRAUDAR: Bounding Graph Fraud in the Face of Camouflage., , , , , and . KDD, page 895-904. ACM, (2016)ExGAN: Adversarial Generation of Extreme Samples., , and . CoRR, (2020)A Contrast Metric for Fraud Detection in Rich Graphs., , and . IEEE Trans. Knowl. Data Eng., 31 (12): 2235-2248 (2019)Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions., , , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 141-157. Springer, (2018)Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms., , , , and . PAKDD (2), volume 9652 of Lecture Notes in Computer Science, page 376-387. Springer, (2016)CurGraph: Curriculum Learning for Graph Classification., , , , and . WWW, page 1238-1248. ACM / IW3C2, (2021)MemStream: Memory-Based Streaming Anomaly Detection., , , , and . WWW, page 610-621. ACM, (2022)Deep Long-Tailed Learning: A Survey., , , , and . CoRR, (2021)UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting., , , , , , and . CoRR, (2023)Real-Time Streaming Anomaly Detection in Dynamic Graphs., , , , , and . CoRR, (2020)