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Autonomous graph mining algorithm search with best performance trade-off.

, , , and . Knowl. Inf. Syst., 64 (6): 1571-1602 (2022)

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FRAUDAR: Bounding Graph Fraud in the Face of Camouflage., , , , , and . KDD, page 895-904. ACM, (2016)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)ExGAN: Adversarial Generation of Extreme Samples., , and . CoRR, (2020)GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 20195-20209. PMLR, (2023)Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks., and . ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 274-290. Springer, (2022)ExGAN: Adversarial Generation of Extreme Samples., , and . AAAI, page 6750-6758. AAAI Press, (2021)LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks., , , and . AAAI, page 6737-6745. AAAI Press, (2022)TellTail: Fast Scoring and Detection of Dense Subgraphs., , , and . AAAI, page 4150-4157. AAAI Press, (2020)