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AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization., , and . WWW, page 213-221. ACM, (2017)Time Series Anomaly Detection With Adversarial Reconstruction Networks., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (4): 4293-4306 (April 2023)LPGNet: Link Private Graph Networks for Node Classification., , , and . CCS, page 1813-1827. ACM, (2022)GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs., , , and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 36-51. Springer, (2021)MStream: Fast Anomaly Detection in Multi-Aspect Streams., , , , and . WWW, page 3371-3382. ACM / IW3C2, (2021)DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams., , , and . KDD, page 1057-1066. ACM, (2017)Midas: Microcluster-Based Detector of Anomalies in Edge Streams., , , , and . AAAI, page 3242-3249. AAAI Press, (2020)Dangling-Aware Entity Alignment with Mixed High-Order Proximities., , , , , , , and . NAACL-HLT (Findings), page 1172-1184. Association for Computational Linguistics, (2022)Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification., , and . CinC, page 1-4. IEEE, (2021)Identifying through Flows for Recovering Latent Representations., , and . ICLR, OpenReview.net, (2020)