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Anomaly Mining -- Past, Present and Future


May 31, 2021
Leman Akoglu

* 6 pages 

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A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?


Apr 12, 2021
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu


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A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies


Apr 03, 2021
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu


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On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights


Dec 23, 2020
Lingxiao Zhao, Leman Akoglu

* 40 pages 

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FAIROD: Fairness-aware Outlier Detection


Dec 05, 2020
Shubhranshu Shekhar, Neil Shah, Leman Akoglu


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Anomaly Detection in Large Labeled Multi-Graph Databases


Oct 07, 2020
Hung T. Nguyen, Pierre J. Liang, Leman Akoglu

* 10 pages 

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Automating Outlier Detection via Meta-Learning


Sep 22, 2020
Yue Zhao, Ryan A. Rossi, Leman Akoglu

* 17 pages 

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Connecting Graph Convolutional Networks and Graph-Regularized PCA


Jun 22, 2020
Lingxiao Zhao, Leman Akoglu

* ICML 2020 GRL+ workshop 
* Appearing at ICML 2020 workshop 

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Generalizing Graph Neural Networks Beyond Homophily


Jun 20, 2020
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra


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SUOD: A Scalable Unsupervised Outlier Detection Framework


Mar 11, 2020
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu

* Submitted to KDD '20 Applied Data Science Track. arXiv admin note: substantial text overlap with arXiv:2002.03222 

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Coverage-based Outlier Explanation


Nov 06, 2019
Yue Wu, Leman Akoglu, Ian Davidson


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A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification


Sep 26, 2019
Xuan Wu, Lingxiao Zhao, Leman Akoglu

* 11 pages, CIKM-2018 

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PairNorm: Tackling Oversmoothing in GNNs


Sep 26, 2019
Lingxiao Zhao, Leman Akoglu

* 15 pages 

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Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection


Jul 08, 2019
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo


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Continual Rare-Class Recognition with Emerging Novel Subclasses


Jun 28, 2019
Hung Nguyen, Xuejian Wang, Leman Akoglu

* accepted to PKDD ECML 2019 

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Incorporating Privileged Information to Unsupervised Anomaly Detection


May 24, 2018
Shubhranshu Shekhar, Leman Akoglu


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Explaining Anomalies in Groups with Characterizing Subspace Rules


May 02, 2018
Meghanath Macha, Leman Akoglu

* 31 pages, 6 figures, 9 tables 

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Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective


Sep 18, 2016
Shebuti Rayana, Wen Zhong, Leman Akoglu

* 11 pages, 8 figures, conference 

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BIRDNEST: Bayesian Inference for Ratings-Fraud Detection


Mar 07, 2016
Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gunnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos

* 9 pages; v2: minor typos corrected 

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Robust Semi-Supervised Classification for Multi-Relational Graphs


Oct 19, 2015
Junting Ye, Leman Akoglu

* 14 pages, 8 figures, 3 tables 

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Less is More: Building Selective Anomaly Ensembles


Jan 08, 2015
Shebuti Rayana, Leman Akoglu

* 14 pages, 5 pages Appendix, 10 Figures, 15 Tables, to appear at SDM 2015 

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Want a Good Answer? Ask a Good Question First!


Nov 27, 2013
Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu


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