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Fast and Scalable Distributed Boolean Tensor Factorization., , and . ICDE, page 1071-1082. IEEE Computer Society, (2017)AutoGML: Fast Automatic Model Selection for Graph Machine Learning., , , and . CoRR, (2022)Fast and scalable method for distributed Boolean tensor factorization., , and . VLDB J., 28 (4): 549-574 (2019)J-Recs: Principled and Scalable Recommendation Justification., , , and . ICDM, page 1208-1213. IEEE, (2020)TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs., , , , , , , , and . IEEE Big Data, page 2214-2217. IEEE, (2022)MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning., , , and . ICLR, OpenReview.net, (2023)Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries., , , and . CoRR, (2017)VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking., , , , , , , , and . WWW (Companion Volume), page 273-277. ACM, (2022)TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs., , , , , , , , , and . AAAI, page 16410-16412. AAAI Press, (2023)Forward Learning of Graph Neural Networks., , , , , , , and . CoRR, (2024)