Leman Akoglu - RankMe

208 papers A* 41A 25B 8C 2Misc 1Journal 92Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection. CoRR Xueying Ding, Haomin Wen, Simon Klütterman, Leman Akoglu
2026	J	`jnl`	MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection. CoRR Xueying Ding, Simon Klütterman, Haomin Wen, Yilong Chen, Leman Akoglu
2025	—	`conf`	CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection. SIGSPATIAL/GIS Haomin Wen, Shurui Cao, Leman Akoglu
2025	J	`jnl`	CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection. CoRR Haomin Wen, Shurui Cao, Leman Akoglu
2025	A	`conf`	End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection. SDM Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
2025	J	`jnl`	FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection. Trans. Mach. Learn. Res. Yuchen Shen, Haomin Wen, Leman Akoglu
2025	J	`jnl`	Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. CoRR Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	J	`jnl`	On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. Trans. Mach. Learn. Res. Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu
2025	—	`ed.`	Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 8-11 September 2025, Cornell Tech, New York, NY, USA AutoML Leman Akoglu, Carola Doerr, Jan N. van Rijn, Roman Garnett, Jacob R. Gardner
2025	—	`conf`	SKnow-LLM Workshop: Structured Knowledge for Large Language Models. KDD (2) Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2025	—	`conf`	Self-Tuning Self-Supervised Image Anomaly Detection. KDD (2) Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
2025	A	`conf`	Trajectory Anomaly Detection with By-Design Complementary Detectors. SDM Shurui Cao, Leman Akoglu
2025	—	`conf`	Uncertainty-aware Spatio-Temporal Human Mobility Modeling and Anomaly Detection. SIGSPATIAL/GIS Haomin Wen, Shurui Cao, Zeeshan Rasheed, Khurram Hassan-Shafique, Leman Akoglu
2025	J	`jnl`	Unified Discrete Diffusion for Categorical Data. J. Mach. Learn. Res. Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu
2024	A*	`conf`	Descriptive Kernel Convolution Network with Improved Random Walk Kernel. WWW Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
2024	J	`jnl`	Descriptive Kernel Convolution Network with Improved Random Walk Kernel. CoRR Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
2024	J	`jnl`	End-To-End Self-tuning Self-supervised Time Series Anomaly Detection. CoRR Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
2024	A*	`conf`	Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. KDD Xueying Ding, Yue Zhao, Leman Akoglu
2024	—	`conf`	HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection. AutoML Yue Zhao, Leman Akoglu
2024	J	`jnl`	Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion. CoRR Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu
2024	A*	`conf`	Machine Learning in Finance. KDD Leman Akoglu, Nitesh V. Chawla, Josep Domingo-Ferrer, Eren Kurshan, Senthil Kumar, Vidyut M. Naware, José A. Rodríguez-Serrano, Isha Chaturvedi, Saurabh Nagrecha, Mahashweta Das, Tanveer A. Faruquie
2024	J	`jnl`	On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. CoRR Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu
2024	—	`conf`	Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. AIES (1) Xueying Ding, Rui Xi, Leman Akoglu
2024	J	`jnl`	Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. CoRR Xueying Ding, Rui Xi, Leman Akoglu
2024	A*	`conf`	Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation. NeurIPS Lingxiao Zhao, Xueying Ding, Leman Akoglu
2024	J	`jnl`	Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation. CoRR Lingxiao Zhao, Xueying Ding, Leman Akoglu
2024	A	`ed.`	Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 WSDM Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii
2024	J	`jnl`	Uncertainty-aware Human Mobility Modeling and Anomaly Detection. CoRR Haomin Wen, Shurui Cao, Leman Akoglu
2024	J	`jnl`	Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone! CoRR Yuchen Shen, Haomin Wen, Leman Akoglu
2023	A*	`conf`	19th International Workshop on Mining and Learning with Graphs (MLG). KDD Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
2023	J	`jnl`	A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
2023	B	`conf`	ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. IEEE Big Data Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu
2023	J	`jnl`	ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. CoRR Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu
2023	J	`jnl`	Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
2023	—	`conf`	DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. ECML/PKDD (1) Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023	J	`jnl`	DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. CoRR Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023	J	`jnl`	Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success. Trans. Mach. Learn. Res. Jaemin Yoo, Tiancheng Zhao, Leman Akoglu
2023	J	`jnl`	Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu
2023	J	`jnl`	Density of states for fast embedding node-attributed graphs. Knowl. Inf. Syst. Lingxiao Zhao, Saurabh Sawlani, Leman Akoglu
2023	J	`jnl`	Detecting Anomalous Graphs in Labeled Multi-Graph Databases. ACM Trans. Knowl. Discov. Data Hung T. Nguyen, Pierre J. Liang, Leman Akoglu
2023	J	`jnl`	End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection. CoRR Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
2023	J	`jnl`	Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. CoRR Xueying Ding, Yue Zhao, Leman Akoglu
2023	—	`conf`	From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. ICAIF Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, Leman Akoglu
2023	J	`jnl`	From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management. CoRR Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, Leman Akoglu
2023	J	`jnl`	Heterophily and Graph Neural Networks: Past, Present and Future. IEEE Data Eng. Bull. Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
2023	A*	`conf`	KDD Workshop on Machine Learning in Finance. KDD Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie
2023	J	`jnl`	On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. Big Data Lingxiao Zhao, Leman Akoglu
2023	A*	`ed.`	Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023 KDD Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye
2023	B	`conf`	Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. IEEE Big Data Leman Akoglu, Jaemin Yoo
2023	J	`jnl`	Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. CoRR Leman Akoglu, Jaemin Yoo
2023	J	`jnl`	The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies. SIGKDD Explor. Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu
2022	A*	`conf`	A Practical, Progressively-Expressive GNN. NeurIPS Lingxiao Zhao, Neil Shah, Leman Akoglu
2022	J	`jnl`	A Practical, Progressively-Expressive GNN. CoRR Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu
2022	J	`jnl`	ACM WSDM 2022 report. SIGWEB Newsl. K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins
2022	A*	`conf`	D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments. ICDM Shuli Jiang, Robson L. F. Cordeiro, Leman Akoglu
2022	J	`jnl`	D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments. CoRR Shuli Jiang, Robson Leonardo Ferreira Cordeiro, Leman Akoglu
2022	A*	`conf`	Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022	A*	`conf`	From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. ICLR Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
2022	J	`jnl`	Graph Anomaly Detection with Unsupervised GNNs. CoRR Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan, Leman Akoglu
2022	A*	`conf`	Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution. NeurIPS Xueying Ding, Lingxiao Zhao, Leman Akoglu
2022	J	`jnl`	Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution. CoRR Xueying Ding, Lingxiao Zhao, Leman Akoglu
2022	A*	`conf`	KDD Workshop on Machine Learning in Finance. KDD Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer A. Faruquie, Hays McCormick
2022	A*	`conf`	Sparx: Distributed Outlier Detection at Scale. KDD Sean Zhang, Varun Ursekar, Leman Akoglu
2022	J	`jnl`	Sparx: Distributed Outlier Detection at Scale. CoRR Sean Zhang, Varun Ursekar, Leman Akoglu
2022	J	`jnl`	Summarizing Labeled Multi-Graphs. CoRR Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
2022	—	`conf`	Summarizing Labeled Multi-graphs. ECML/PKDD (2) Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
2022	A*	`conf`	Toward Unsupervised Outlier Model Selection. ICDM Yue Zhao, Sean Zhang, Leman Akoglu
2022	J	`jnl`	Toward Unsupervised Outlier Model Selection. CoRR Yue Zhao, Sean Zhang, Leman Akoglu
2022	J	`jnl`	Towards Unsupervised HPO for Outlier Detection. CoRR Yue Zhao, Leman Akoglu
2022	J	`jnl`	Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection. CoRR Jaemin Yoo, Tiancheng Zhao, Leman Akoglu
2022	J	`jnl`	Unsupervised Machine Learning for Explainable Medicare Fraud Detection. CoRR Shubhranshu Shekhar, Jetson Leder-Luis, Leman Akoglu
2022	A	`ed.`	WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 WSDM K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang
2021	J	`jnl`	A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? CoRR Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu
2021	A*	`conf`	Anomaly Mining - Past, Present and Future. IJCAI Leman Akoglu
2021	J	`jnl`	Anomaly Mining - Past, Present and Future. CoRR Leman Akoglu
2021	A	`conf`	Anomaly Mining: Past, Present and Future. CIKM Leman Akoglu
2021	A*	`conf`	Automatic Unsupervised Outlier Model Selection. NeurIPS Yue Zhao, Ryan A. Rossi, Leman Akoglu
2021	J	`jnl`	Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
2021	J	`jnl`	C-AllOut: Catching & Calling Outliers by Type. CoRR Guilherme D. F. Silva, Leman Akoglu, Robson L. F. Cordeiro
2021	J	`jnl`	Detecting Changed-Hands Online Review Accounts. CoRR Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu
2021	C	`conf`	FairOD: Fairness-aware Outlier Detection. AIES Shubhranshu Shekhar, Neil Shah, Leman Akoglu
2021	A*	`conf`	Fast Attributed Graph Embedding via Density of States. ICDM Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
2021	J	`jnl`	Fast Attributed Graph Embedding via Density of States. CoRR Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
2021	J	`jnl`	From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. CoRR Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
2021	B	`conf`	GAWD: graph anomaly detection in weighted directed graph databases. ASONAM Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu
2021	A*	`conf`	Machine Learning in Finance. KDD Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. Rodríguez-Serrano, Tanveer A. Faruquie, Saurabh Nagrecha
2021	A*	`conf`	ODD: Outlier Detection and Description. KDD Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta
2021	—	`conf`	SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu
2020	J	`jnl`	Anomaly Detection in Large Labeled Multi-Graph Databases. CoRR Hung T. Nguyen, Pierre J. Liang, Leman Akoglu
2020	—	`conf`	AutoAudit: Mining Accounting and Time-Evolving Graphs. IEEE BigData Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
2020	J	`jnl`	AutoAudit: Mining Accounting and Time-Evolving Graphs. CoRR Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
2020	J	`jnl`	Automating Outlier Detection via Meta-Learning. CoRR Yue Zhao, Ryan A. Rossi, Leman Akoglu
2020	A*	`conf`	Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. NeurIPS Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020	J	`jnl`	Connecting Graph Convolutional Networks and Graph-Regularized PCA. CoRR Lingxiao Zhao, Leman Akoglu
2020	J	`jnl`	End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses. ACM Trans. Knowl. Discov. Data Hung T. Nguyen, Xuejian Wang, Leman Akoglu
2020	J	`jnl`	FAIROD: Fairness-aware Outlier Detection. CoRR Shubhranshu Shekhar, Neil Shah, Leman Akoglu
2020	J	`jnl`	Generalizing Graph Neural Networks Beyond Homophily. CoRR Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020	J	`jnl`	On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. CoRR Lingxiao Zhao, Leman Akoglu
2020	A*	`conf`	PairNorm: Tackling Oversmoothing in GNNs. ICLR Lingxiao Zhao, Leman Akoglu
2020	J	`jnl`	SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
2019	J	`jnl`	A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. CoRR Xuan Wu, Lingxiao Zhao, Leman Akoglu
2019	—	`conf`	Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? SBP-BRiMS Tahora H. Nazer, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, Huan Liu
2019	A	`conf`	BuScope: Fusing Individual & Aggregated Mobility Behavior for. MobiSys Lakmal Meegahapola, Thivya Kandappu, Kasthuri Jayarajah, Leman Akoglu, Shili Xiang, Archan Misra
2019	—	`conf`	Continual Rare-Class Recognition with Emerging Novel Subclasses. ECML/PKDD (2) Hung T. Nguyen, Xuejian Wang, Leman Akoglu
2019	J	`jnl`	Continual Rare-Class Recognition with Emerging Novel Subclasses. CoRR Hung T. Nguyen, Xuejian Wang, Leman Akoglu
2019	A*	`conf`	ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections. WWW Tuan M. V. Le, Leman Akoglu
2019	J	`jnl`	Coverage-based Outlier Explanation. CoRR Yue Wu, Leman Akoglu, Ian Davidson
2019	A	`conf`	Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. SDM Hemank Lamba, Leman Akoglu
2019	J	`jnl`	PairNorm: Tackling Oversmoothing in GNNs. CoRR Lingxiao Zhao, Leman Akoglu
2019	A*	`conf`	Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. NeurIPS Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
2019	J	`jnl`	Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. CoRR Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
2018	B	`conf`	A Lens into Employee Peer Reviews Via Sentiment-Aspect Modeling. ASONAM Abhinav Maurya, Leman Akoglu, Ramayya Krishnan, Daniel Bay
2018	A	`conf`	A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. CIKM Xuan Wu, Lingxiao Zhao, Leman Akoglu
2018	—	`conf`	Beyond Outlier Detection: LookOut for Pictorial Explanation. ECML/PKDD (1) Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos
2018	A	`conf`	ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. CIKM Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos
2018	—	`conf`	ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud. ECML/PKDD (1) Meghanath Macha Yadagiri, Deepak Pai, Leman Akoglu
2018	J	`jnl`	Discovering Communities and Anomalies in Attributed Graphs: Interactive Visual Exploration and Summarization. ACM Trans. Knowl. Discov. Data Bryan Perozzi, Leman Akoglu
2018	J	`jnl`	Explaining anomalies in groups with characterizing subspace rules. Data Min. Knowl. Discov. Meghanath Macha, Leman Akoglu
2018	—	`conf`	Incorporating Privileged Information to Unsupervised Anomaly Detection. ECML/PKDD (1) Shubhranshu Shekhar, Leman Akoglu
2018	J	`jnl`	Incorporating Privileged Information to Unsupervised Anomaly Detection. CoRR Shubhranshu Shekhar, Leman Akoglu
2018	—	`conf`	Robust Semi-Supervised Learning on Multiple Networks with Noise. PAKDD (1) Junting Ye, Leman Akoglu
2018	A*	`conf`	xStream: Outlier Detection in Feature-Evolving Data Streams. KDD Emaad A. Manzoor, Hemank Lamba, Leman Akoglu
2017	—	`conf`	A Domain-Agnostic Approach to Spam-URL Detection via Redirects. PAKDD (2) Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu
2017	J	`jnl`	Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset. Future Internet Sokratis Vidros, Constantinos Kolias, Georgios Kambourakis, Leman Akoglu
2017	J	`jnl`	Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. CoRR Siheng Chen, Sufeng Niu, Leman Akoglu, Jelena Kovacevic, Christos Faloutsos
2017	J	`jnl`	GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2017	J	`jnl`	LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector. CoRR Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos
2017	—	`conf`	Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges. ICDM Workshops Leman Akoglu
2017	A*	`conf`	RUSH!: Targeted Time-limited Coupons via Purchase Forecasts. KDD Emaad A. Manzoor, Leman Akoglu
2017	A	`conf`	Ranking in Heterogeneous Networks with Geo-Location Information. SDM Abhinav Mishra, Leman Akoglu
2017	J	`jnl`	Ties That Bind - Characterizing Classes by Attributes and Social Ties. CoRR Aria Rezaei, Bryan Perozzi, Leman Akoglu
2017	—	`conf`	Ties That Bind: Characterizing Classes by Attributes and Social Ties. WWW (Companion Volume) Aria Rezaei, Bryan Perozzi, Leman Akoglu
2017	J	`jnl`	X-PACS: eXPlaining Anomalies by Characterizing Subspaces. CoRR Meghanath Macha, Leman Akoglu
2016	A	`conf`	ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu
2016	A	`conf`	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. SDM Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
2016	A	`conf`	Collective Opinion Spam Detection using Active Inference. SDM Shebuti Rayana, Leman Akoglu
2016	J	`jnl`	EIC Editorial. IEEE Trans. Knowl. Data Eng. Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang
2016	—	`conf`	EdgeCentric: Anomaly Detection in Edge-Attributed Networks. ICDM Workshops Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos
2016	A*	`conf`	Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. KDD Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu
2016	J	`jnl`	Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. CoRR Emaad A. Manzoor, Sadegh Momeni, Venkat N. Venkatakrishnan, Leman Akoglu
2016	J	`jnl`	Less is More: Building Selective Anomaly Ensembles. ACM Trans. Knowl. Discov. Data Shebuti Rayana, Leman Akoglu
2016	J	`jnl`	Optimizing network robustness by edge rewiring: a general framework. Data Min. Knowl. Discov. Hau Chan, Leman Akoglu
2016	A	`conf`	Scalable Anomaly Ranking of Attributed Neighborhoods. SDM Bryan Perozzi, Leman Akoglu
2016	J	`jnl`	Scalable Anomaly Ranking of Attributed Neighborhoods. CoRR Bryan Perozzi, Leman Akoglu
2016	A*	`conf`	Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. ICDM Shebuti Rayana, Wen Zhong, Leman Akoglu
2016	J	`jnl`	Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. CoRR Shebuti Rayana, Wen Zhong, Leman Akoglu
2016	A	`conf`	Temporal Opinion Spam Detection by Multivariate Indicative Signals. ICWSM Junting Ye, Santhosh Kumar, Leman Akoglu
2016	J	`jnl`	Temporal Opinion Spam Detection by Multivariate Indicative Signals. CoRR Junting Ye, Santhosh Kumar, Leman Akoglu
2016	J	`jnl`	The Politics of Routing: Investigating the Relationship Between AS Connectivity and Internet Freedom. CoRR Rachee Singh, Hyungjoon Koo, Najmehalsadat Miramirkhani, Fahimeh Mirhaj, Leman Akoglu, Phillipa Gill
2016	—	`conf`	The Politics of Routing: Investigating the Relationship between AS Connectivity and Internet Freedom. FOCI Rachee Singh, Hyungjoon Koo, Najmehalsadat Miramirkhani, Fahimeh Mirhaj, Phillipa Gill, Leman Akoglu
2015	B	`conf`	AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2015	J	`jnl`	APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2015	J	`jnl`	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. CoRR Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
2015	A*	`conf`	Collective Opinion Spam Detection: Bridging Review Networks and Metadata. KDD Shebuti Rayana, Leman Akoglu
2015	—	`conf`	Correlation of Node Importance Measures: An Empirical Study through Graph Robustness. WWW (Companion Volume) Mirza Basim Baig, Leman Akoglu
2015	J	`jnl`	Detecting high-quality posts in community question answering sites. Inf. Sci. Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu
2015	—	`conf`	Discovering Opinion Spammer Groups by Network Footprints. COSN Junting Ye, Leman Akoglu
2015	—	`conf`	Discovering Opinion Spammer Groups by Network Footprints. ECML/PKDD (1) Junting Ye, Leman Akoglu
2015	J	`jnl`	EdgeCentric: Anomaly Detection in Edge-Attributed Networks. CoRR Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos
2015	J	`jnl`	Effects of tag usage on question response time - Analysis and prediction in StackOverflow. Soc. Netw. Anal. Min. Vasudev Bhat, Adheesh Gokhale, Ravi Jadhav, Jagat Sastry Pudipeddi, Leman Akoglu
2015	A*	`conf`	Fraud Detection through Graph-Based User Behavior Modeling. CCS Alex Beutel, Leman Akoglu, Christos Faloutsos
2015	J	`jnl`	Graph based anomaly detection and description: a survey. Data Min. Knowl. Discov. Leman Akoglu, Hanghang Tong, Danai Koutra
2015	A*	`conf`	Graph-Based User Behavior Modeling: From Prediction to Fraud Detection. KDD Alex Beutel, Leman Akoglu, Christos Faloutsos
2015	—	`conf`	Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens
2015	A	`conf`	Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs. SDM Shebuti Rayana, Leman Akoglu
2015	J	`jnl`	Less is More: Building Selective Anomaly Ensembles. CoRR Shebuti Rayana, Leman Akoglu
2015	J	`jnl`	Robust Semi-Supervised Classification for Multi-Relational Graphs. CoRR Junting Ye, Leman Akoglu
2015	A	`conf`	Where Graph Topology Matters: The Robust Subgraph Problem. SDM Hau Chan, Shuchu Han, Leman Akoglu
2015	J	`jnl`	Where Graph Topology Matters: The Robust Subgraph Problem. CoRR Hau Chan, Shuchu Han, Leman Akoglu
2014	A	`conf`	Big graph mining for the web and social media: algorithms, anomaly detection, and applications. WSDM U Kang, Leman Akoglu, Duen Horng Chau
2014	—	`conf`	ConnotationWordNet: Learning Connotation over the Word+Sense Network. ACL (1) Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi
2014	Misc	`conf`	Fast Information-Theoretic Agglomerative Co-clustering. ADC Tiantian Gao, Leman Akoglu
2014	—	`conf`	Fast Nearest Neighbor Search on Large Time-Evolving Graphs. ECML/PKDD (1) Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu
2014	A*	`conf`	Focused clustering and outlier detection in large attributed graphs. KDD Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller
2014	J	`jnl`	Graph-based Anomaly Detection and Description: A Survey. CoRR Leman Akoglu, Hanghang Tong, Danai Koutra
2014	B	`conf`	Joint voting prediction for questions and answers in CQA. ASONAM Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu
2014	A	`conf`	Make It or Break It: Manipulating Robustness in Large Networks. SDM Hau Chan, Leman Akoglu, Hanghang Tong
2014	B	`conf`	Min(e)d your tags: Analysis of Question response time in StackOverflow. ASONAM Vasudev Bhat, Adheesh Gokhale, Ravi Jadhav, Jagat Sastry Pudipeddi, Leman Akoglu
2014	A	`conf`	Quantifying Political Polarity Based on Bipartite Opinion Networks. ICWSM Leman Akoglu
2014	—	`conf`	User churn in focused question answering sites: characterizations and prediction. WWW (Companion Volume) Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong
2013	A	`conf`	Anomaly, event, and fraud detection in large network datasets. WSDM Leman Akoglu, Christos Faloutsos
2013	C	`conf`	Do more views of a graph help? Community detection and clustering in multi-graphs. FUSION Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco
2013	A*	`conf`	External Evaluation of Topic Models: A Graph Mining Approach. ICDM Hau Chan, Leman Akoglu
2013	A	`conf`	Mining Connection Pathways for Marked Nodes in Large Graphs. SDM Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken
2013	A	`conf`	Opinion Fraud Detection in Online Reviews by Network Effects. ICWSM Leman Akoglu, Rishi Chandy, Christos Faloutsos
2013	—	`conf`	Sex Differences in the Human Connectome. Brain and Health Informatics Vivek Kulkarni, Jagat Sastry Pudipeddi, Leman Akoglu, Joshua T. Vogelstein, R. Jacob Vogelstein, Sephira Ryman, Rex E. Jung
2013	J	`jnl`	Want a Good Answer? Ask a Good Question First! CoRR Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu
2012	A	`conf`	Fast and reliable anomaly detection in categorical data. CIKM Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos
2012	B	`conf`	Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2012	—	`conf`	OPAvion: mining and visualization in large graphs. SIGMOD Conference Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos
2012	A	`conf`	PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. SDM Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos
2012	—	`conf`	Quantifying Reciprocity in Large Weighted Communication Networks. PAKDD (2) Leman Akoglu, Pedro O. S. Vaz de Melo, Christos Faloutsos
2012	A*	`conf`	RolX: structural role extraction & mining in large graphs. KDD Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
2012	A*	`conf`	TourViz: interactive visualization of connection pathways in large graphs. KDD Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2011	A*	`conf`	It's who you know: graph mining using recursive structural features. KDD Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos
2011	—	`ch.`	Statistical Properties of Social Networks. Social Network Data Analytics Mary McGlohon, Leman Akoglu, Christos Faloutsos
2010	A*	`conf`	Metric forensics: a multi-level approach for mining volatile graphs. KDD Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
2010	A*	`conf`	Patterns on the Connected Components of Terabyte-Scale Graphs. ICDM U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos
2010	—	`conf`	Structure, tie persistence and event detection in large phone and SMS networks. MLG@KDD Leman Akoglu, Bhavana Dalvi
2010	—	`conf`	Surprising Patterns for the Call Duration Distribution of Mobile Phone Users. ECML/PKDD (3) Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro
2010	—	`conf`	ValuePick: Towards a Value-Oriented Dual-Goal Recommender System. ICDM Workshops Leman Akoglu, Christos Faloutsos
2010	—	`conf`	oddball: Spotting Anomalies in Weighted Graphs. PAKDD (2) Leman Akoglu, Mary McGlohon, Christos Faloutsos
2009	A*	`conf`	Large human communication networks: patterns and a utility-driven generator. KDD Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
2009	—	`conf`	RTG: A Recursive Realistic Graph Generator Using Random Typing. ECML/PKDD (1) Leman Akoglu, Christos Faloutsos
2009	J	`jnl`	RTG: a recursive realistic graph generator using random typing. Data Min. Knowl. Discov. Leman Akoglu, Christos Faloutsos
2008	A*	`conf`	RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs. ICDM Leman Akoglu, Mary McGlohon, Christos Faloutsos
2008	A*	`conf`	Weighted graphs and disconnected components: patterns and a generator. KDD Mary McGlohon, Leman Akoglu, Christos Faloutsos