Journal Article On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights 2023 • Big Data • 11(3):151-180 Zhao L, Akoglu L
Journal Article PC Chairs' Welcome 2023 • KDD : proceedings / International Conference on Knowledge Discovery & Data Mining. International Conference on Knowledge Discovery & Data Mining • IV Akoglu L, Gunopulos D, Yan X, Kumar R, Ozcan F, Ye J
Preprint Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities 2023 Akoglu L, Yoo J
Conference Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities 2023 1047-1051 Akoglu L, Yoo J
Chapter Summarizing Labeled Multi-graphs 2023 • Lecture Notes in Computer Science • 13714:53-68 Berberidis D, Liang PJ, Akoglu L
Journal Article The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies 2023 • ACM SIGKDD Explorations Newsletter • 25(1):19-35 Q. M, Zhao Y, Zhang X, Akoglu L
Conference A Practical, Progressively-Expressive GNN 2022 • Advances in Neural Information Processing Systems Zhao L, Haertel L, Shah N, Akoglu L
Journal Article ACM WSDM 2022 report 2022 • ACM SIGWEB Newsletter • 2022(Summer):1-6 Candan KS, Liu H, Akoglu L, Dong XL, Tang J, Tomkins A
Preprint D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments 2022 Jiang S, Cordeiro RLF, Akoglu L
Conference D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments 2022 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 987-992 Jiang S, Cordeiro RLF, Akoglu L
Preprint Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success 2022 Yoo J, Zhao T, Akoglu L
Conference Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection 2022 • Advances in Neural Information Processing Systems Zhang G, Yang Z, Wu J, Yang J, Shan X, Peng H, Su J, Zhou C, Sheng QZ, Akoglu L, Aggarwal CC
Preprint Graph Anomaly Detection with Unsupervised GNNs 2022 Zhao L, Sawlani S, Srinivasan A, Akoglu L
Conference Hyperparameter Sensitivity in Deep Outlier Detection Analysis and a Scalable Hyper-Ensemble Solution 2022 • Advances in Neural Information Processing Systems Ding X, Zhao L, Akoglu L
Preprint Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution 2022 Ding X, Zhao L, Akoglu L
Conference KDD Workshop on Machine Learning in Finance 2022 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 4882-4883 Kumar S, Akoglu L, Chawla N, Nagrecha S, Naware VM, Faruquie T, McCormick H
Conference SPARX: Distributed Outlier Detection at Scale 2022 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 4530-4540 Zhang S, Ursekar V, Akoglu L
Conference Toward Unsupervised Outlier Model Selection 2022 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 773-782 Zhao Y, Zhang S, Akoglu L
Preprint Unsupervised Machine Learning for Explainable Health Care Fraud Detection 2022 Shekhar S, Leder-Luis J, Akoglu L
Preprint A Comprehensive Survey on Graph Anomaly Detection with Deep Learning 2021 Ma X, Wu J, Xue S, Yang J, Zhou C, Sheng QZ, Xiong H, Akoglu L
