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 • 35: Zhao L, Härtel 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
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 D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments 2022 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 • 35: Zhang G, Yang Z, Wu J, Yang J, Shan X, Peng H, Su J, Zhou C, Sheng QZ, Akoglu L, Aggarwal CC
Conference FROM STARS TO SUBGRAPHS: UPLIFTING ANY GNN WITH LOCAL STRUCTURE AWARENESS 2022 • ICLR 2022 - 10th International Conference on Learning Representations Zhao L, Jin W, Akoglu L, Shah N
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 • 35: 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 Message from the WSDM 2022 chairs 2022 • WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining • iii Selcuk Candan K, Liu H, Akoglu L, Luna Dong X, Tang J
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
Preprint A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? 2021 Ma MQ, Zhao Y, Zhang X, Akoglu L
Conference Anomaly Mining - Past, Present and Future 2021 • IJCAI International Joint Conference on Artificial Intelligence • 4932-4936 Akoglu L
