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2020 – today
- 2024
[c102]Xueying Ding
, Yue Zhao, Leman Akoglu:
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. KDD 2024: 585-596- [c101]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:
Machine Learning in Finance. KDD 2024: 6703 - [c100]Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu:
Descriptive Kernel Convolution Network with Improved Random Walk Kernel. WWW 2024: 457-468 - [e3]Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii:
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. ACM 2024 [contents] - [i61]Lingxiao Zhao, Xueying Ding, Leman Akoglu:
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation. CoRR abs/2402.03687 (2024) - [i60]Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu:
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion. CoRR abs/2402.03701 (2024) - [i59]Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu:
Descriptive Kernel Convolution Network with Improved Random Walk Kernel. CoRR abs/2402.06087 (2024) - [i58]Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu:
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. CoRR abs/2402.07860 (2024) - [i57]Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu:
End-To-End Self-tuning Self-supervised Time Series Anomaly Detection. CoRR abs/2404.02865 (2024) - [i56]Xueying Ding, Rui Xi, Leman Akoglu:
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. CoRR abs/2408.13667 (2024) - [i55]Yuchen Shen, Haomin Wen, Leman Akoglu:
Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone! CoRR abs/2409.05672 (2024) - [i54]Haomin Wen, Shurui Cao, Leman Akoglu:
Uncertainty-aware Human Mobility Modeling and Anomaly Detection. CoRR abs/2410.01281 (2024) - 2023
- [j23]Lingxiao Zhao, Leman Akoglu:
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. Big Data 11(3): 151-180 (2023) - [j22]Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra:
Heterophily and Graph Neural Networks: Past, Present and Future. IEEE Data Eng. Bull. 46(2): 12-34 (2023) - [j21]Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu:
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. 38(2): 32-35 (2023) - [j20]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics 139: 104296 (2023) - [j19]Lingxiao Zhao, Saurabh Sawlani, Leman Akoglu:
Density of states for fast embedding node-attributed graphs. Knowl. Inf. Syst. 65(6): 2455-2483 (2023) - [j18]Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies. SIGKDD Explor. 25(1): 19-35 (2023) - [j17]Hung T. Nguyen, Pierre J. Liang, Leman Akoglu:
Detecting Anomalous Graphs in Labeled Multi-Graph Databases. ACM Trans. Knowl. Discov. Data 17(2): 16:1-16:25 (2023) - [j16]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu:
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. 35(12): 12012-12038 (2023) - [j15]Jaemin Yoo, Tiancheng Zhao, Leman Akoglu:
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success. Trans. Mach. Learn. Res. 2023 (2023) - [c99]Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu:
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. IEEE Big Data 2023: 865-874 - [c98]Leman Akoglu, Jaemin Yoo:
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. IEEE Big Data 2023: 1047-1051 - [c97]Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, Leman Akoglu:
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. ICAIF 2023: 279-287 - [c96]Leman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie:
KDD Workshop on Machine Learning in Finance. KDD 2023: 5863-5864 - [c95]Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu:
19th International Workshop on Mining and Learning with Graphs (MLG). KDD 2023: 5882-5883 - [c94]Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu:
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. ECML/PKDD (1) 2023: 254-269 - [e2]Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023 [contents] - [i53]Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, Leman Akoglu:
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management. CoRR abs/2304.03368 (2023) - [i52]Jaemin Yoo, Lingxiao Zhao, Leman Akoglu:
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection. CoRR abs/2306.12033 (2023) - [i51]Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu:
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. CoRR abs/2307.06534 (2023) - [i50]Xueying Ding, Yue Zhao, Leman Akoglu:
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. CoRR abs/2307.10529 (2023) - [i49]Leman Akoglu, Jaemin Yoo:
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. CoRR abs/2308.14380 (2023) - [i48]Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu:
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. CoRR abs/2311.07355 (2023) - 2022
- [j14]K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022) - [c93]Yue Zhao, Sean Zhang, Leman Akoglu:
Toward Unsupervised Outlier Model Selection. ICDM 2022: 773-782 - [c92]Shuli Jiang, Robson L. F. Cordeiro, Leman Akoglu:
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments. ICDM 2022: 987-992 - [c91]Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah:
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. ICLR 2022 - [c90]Sean Zhang, Varun Ursekar, Leman Akoglu:
Sparx: Distributed Outlier Detection at Scale. KDD 2022: 4530-4540 - [c89]Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer A. Faruquie, Hays McCormick:
KDD Workshop on Machine Learning in Finance. KDD 2022: 4882-4883 - [c88]Xueying Ding, Lingxiao Zhao, Leman Akoglu:
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution. NeurIPS 2022 - [c87]Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal:
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS 2022 - [c86]Lingxiao Zhao, Neil Shah, Leman Akoglu:
A Practical, Progressively-Expressive GNN. NeurIPS 2022 - [c85]Dimitris Berberidis, Pierre J. Liang, Leman Akoglu:
Summarizing Labeled Multi-graphs. ECML/PKDD (2) 2022: 53-68 - [e1]K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0 [contents] - [i47]Sean Zhang, Varun Ursekar, Leman Akoglu:
Sparx: Distributed Outlier Detection at Scale. CoRR abs/2206.01281 (2022) - [i46]Xueying Ding, Lingxiao Zhao, Leman Akoglu:
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution. CoRR abs/2206.07647 (2022) - [i45]Dimitris Berberidis, Pierre J. Liang, Leman Akoglu:
Summarizing Labeled Multi-Graphs. CoRR abs/2206.07674 (2022) - [i44]Jaemin Yoo, Tiancheng Zhao, Leman Akoglu:
Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection. CoRR abs/2208.07734 (2022) - [i43]Yue Zhao, Leman Akoglu:
Towards Unsupervised HPO for Outlier Detection. CoRR abs/2208.11727 (2022) - [i42]Shuli Jiang, Robson Leonardo Ferreira Cordeiro, Leman Akoglu:
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments. CoRR abs/2210.08212 (2022) - [i41]Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu:
A Practical, Progressively-Expressive GNN. CoRR abs/2210.09521 (2022) - [i40]Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan, Leman Akoglu:
Graph Anomaly Detection with Unsupervised GNNs. CoRR abs/2210.09535 (2022) - [i39]Yue Zhao, Sean Zhang, Leman Akoglu:
Toward Unsupervised Outlier Model Selection. CoRR abs/2211.01834 (2022) - [i38]Shubhranshu Shekhar, Jetson Leder-Luis, Leman Akoglu:
Unsupervised Machine Learning for Explainable Medicare Fraud Detection. CoRR abs/2211.02927 (2022) - 2021
- [c84]Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FairOD: Fairness-aware Outlier Detection. AIES 2021: 210-220 - [c83]Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu:
GAWD: graph anomaly detection in weighted directed graph databases. ASONAM 2021: 143-150 - [c82]Leman Akoglu:
Anomaly Mining: Past, Present and Future. CIKM 2021: 1-2 - [c81]Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu:
Fast Attributed Graph Embedding via Density of States. ICDM 2021: 559-568 - [c80]Leman Akoglu:
Anomaly Mining - Past, Present and Future. IJCAI 2021: 4932-4936 - [c79]Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta:
ODD: Outlier Detection and Description. KDD 2021: 4108-4109 - [c78]Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. Rodríguez-Serrano, Tanveer A. Faruquie, Saurabh Nagrecha:
Machine Learning in Finance. KDD 2021: 4139-4140 - [c77]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:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c76]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automatic Unsupervised Outlier Model Selection. NeurIPS 2021: 4489-4502 - [i37]Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? CoRR abs/2104.01422 (2021) - [i36]Leman Akoglu:
Anomaly Mining - Past, Present and Future. CoRR abs/2105.10077 (2021) - [i35]Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu:
Detecting Changed-Hands Online Review Accounts. CoRR abs/2106.15352 (2021) - [i34]Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah:
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. CoRR abs/2110.03753 (2021) - [i33]Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu:
Fast Attributed Graph Embedding via Density of States. CoRR abs/2110.05228 (2021) - [i32]Guilherme D. F. Silva, Leman Akoglu, Robson L. F. Cordeiro:
C-AllOut: Catching & Calling Outliers by Type. CoRR abs/2110.08257 (2021) - [i31]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR abs/2111.06032 (2021) - 2020
- [j13]Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses. ACM Trans. Knowl. Discov. Data 14(5): 61:1-61:28 (2020) - [c75]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. IEEE BigData 2020: 950-956 - [c74]Lingxiao Zhao, Leman Akoglu:
PairNorm: Tackling Oversmoothing in GNNs. ICLR 2020 - [c73]Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra:
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. NeurIPS 2020 - [i30]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i29]Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra:
Generalizing Graph Neural Networks Beyond Homophily. CoRR abs/2006.11468 (2020) - [i28]Lingxiao Zhao, Leman Akoglu:
Connecting Graph Convolutional Networks and Graph-Regularized PCA. CoRR abs/2006.12294 (2020) - [i27]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automating Outlier Detection via Meta-Learning. CoRR abs/2009.10606 (2020) - [i26]Hung T. Nguyen, Pierre J. Liang, Leman Akoglu:
Anomaly Detection in Large Labeled Multi-Graph Databases. CoRR abs/2010.03600 (2020) - [i25]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. CoRR abs/2011.00447 (2020) - [i24]Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FAIROD: Fairness-aware Outlier Detection. CoRR abs/2012.03063 (2020) - [i23]Lingxiao Zhao, Leman Akoglu:
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. CoRR abs/2012.12931 (2020)
2010 – 2019
- 2019
- [c72]Lakmal Meegahapola, Thivya Kandappu, Kasthuri Jayarajah, Leman Akoglu, Shili Xiang, Archan Misra:
BuScope: Fusing Individual & Aggregated Mobility Behavior for. MobiSys 2019: 41-53 - [c71]Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo:
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. NeurIPS 2019: 10921-10931 - [c70]Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
Continual Rare-Class Recognition with Emerging Novel Subclasses. ECML/PKDD (2) 2019: 20-36 - [c69]Tahora H. Nazer, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, Huan Liu:
Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? SBP-BRiMS 2019: 39-49 - [c68]Hemank Lamba, Leman Akoglu:
Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. SDM 2019: 612-620 - [c67]Tuan M. V. Le, Leman Akoglu:
ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections. WWW 2019: 928-938 - [i22]Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
Continual Rare-Class Recognition with Emerging Novel Subclasses. CoRR abs/1906.12218 (2019) - [i21]Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo:
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection. CoRR abs/1907.03813 (2019) - [i20]Lingxiao Zhao, Leman Akoglu:
PairNorm: Tackling Oversmoothing in GNNs. CoRR abs/1909.12223 (2019) - [i19]Xuan Wu, Lingxiao Zhao, Leman Akoglu:
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. CoRR abs/1909.12385 (2019) - [i18]Yue Wu, Leman Akoglu, Ian Davidson:
Coverage-based Outlier Explanation. CoRR abs/1911.02617 (2019) - 2018
- [j12]Meghanath Macha, Leman Akoglu:
Explaining anomalies in groups with characterizing subspace rules. Data Min. Knowl. Discov. 32(5): 1444-1480 (2018) - [j11]Bryan Perozzi, Leman Akoglu:
Discovering Communities and Anomalies in Attributed Graphs: Interactive Visual Exploration and Summarization. ACM Trans. Knowl. Discov. Data 12(2): 24:1-24:40 (2018) - [c66]Abhinav Maurya, Leman Akoglu, Ramayya Krishnan, Daniel Bay:
A Lens into Employee Peer Reviews Via Sentiment-Aspect Modeling. ASONAM 2018: 670-677 - [c65]Xuan Wu, Lingxiao Zhao, Leman Akoglu:
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. CIKM 2018: 87-96 - [c64]Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. CIKM 2018: 507-516 - [c63]Emaad A. Manzoor, Hemank Lamba, Leman Akoglu:
xStream: Outlier Detection in Feature-Evolving Data Streams. KDD 2018: 1963-1972 - [c62]Junting Ye, Leman Akoglu:
Robust Semi-Supervised Learning on Multiple Networks with Noise. PAKDD (1) 2018: 196-208 - [c61]Shubhranshu Shekhar, Leman Akoglu:
Incorporating Privileged Information to Unsupervised Anomaly Detection. ECML/PKDD (1) 2018: 87-104 - [c60]Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
Beyond Outlier Detection: LookOut for Pictorial Explanation. ECML/PKDD (1) 2018: 122-138 - [c59]Meghanath Macha Yadagiri, Deepak Pai, Leman Akoglu:
ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud. ECML/PKDD (1) 2018: 139-156 - [i17]Shubhranshu Shekhar, Leman Akoglu:
Incorporating Privileged Information to Unsupervised Anomaly Detection. CoRR abs/1805.02269 (2018) - 2017
- [j10]Sokratis Vidros, Constantinos Kolias, Georgios Kambourakis, Leman Akoglu:
Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset. Future Internet 9(1): 6 (2017) - [j9]Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. 63(9): 3090-3110 (2017) - [c58]Leman Akoglu:
Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges. ICDM Workshops 2017: 968 - [c57]Emaad A. Manzoor, Leman Akoglu:
RUSH!: Targeted Time-limited Coupons via Purchase Forecasts. KDD 2017: 1923-1931 - [c56]Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu:
A Domain-Agnostic Approach to Spam-URL Detection via Redirects. PAKDD (2) 2017: 220-232 - [c55]Abhinav Mishra, Leman Akoglu:
Ranking in Heterogeneous Networks with Geo-Location Information. SDM 2017: 408-416 - [c54]Aria Rezaei, Bryan Perozzi, Leman Akoglu:
Ties That Bind: Characterizing Classes by Attributes and Social Ties. WWW (Companion Volume) 2017: 973-981 - [i16]Aria Rezaei, Bryan Perozzi, Leman Akoglu:
Ties That Bind - Characterizing Classes by Attributes and Social Ties. CoRR abs/1701.09039 (2017) - [i15]Siheng Chen, Sufeng Niu, Leman Akoglu, Jelena Kovacevic, Christos Faloutsos:
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. CoRR abs/1702.05764 (2017) - [i14]Meghanath Macha, Leman Akoglu:
X-PACS: eXPlaining Anomalies by Characterizing Subspaces. CoRR abs/1708.05929 (2017) - [i13]Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector. CoRR abs/1710.05333 (2017) - 2016
- [j8]Hau Chan, Leman Akoglu:
Optimizing network robustness by edge rewiring: a general framework. Data Min. Knowl. Discov. 30(5): 1395-1425 (2016) - [j7]Shebuti Rayana, Leman Akoglu:
Less is More: Building Selective Anomaly Ensembles. ACM Trans. Knowl. Discov. Data 10(4): 42:1-42:33 (2016) - [j6]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:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28(10): 2535-2537 (2016) - [c53]Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu:
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM 2016: 2509 - [c52]Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos:
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. ICDM Workshops 2016: 327-334 - [c51]Shebuti Rayana, Wen Zhong, Leman Akoglu:
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. ICDM 2016: 1167-1172 - [c50]Junting Ye, Santhosh Kumar, Leman Akoglu:
Temporal Opinion Spam Detection by Multivariate Indicative Signals. ICWSM 2016: 743-746 - [c49]Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu:
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. KDD 2016: 1035-1044 - [c48]Bryan Perozzi, Leman Akoglu:
Scalable Anomaly Ranking of Attributed Neighborhoods. SDM 2016: 207-215 - [c47]Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos:
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. SDM 2016: 495-503 - [c46]Shebuti Rayana, Leman Akoglu:
Collective Opinion Spam Detection using Active Inference. SDM 2016: 630-638 - [c45]Rachee Singh, Hyungjoon Koo, Najmehalsadat Miramirkhani, Fahimeh Mirhaj, Phillipa Gill, Leman Akoglu:
The Politics of Routing: Investigating the Relationship between AS Connectivity and Internet Freedom. FOCI 2016 - [i12]Bryan Perozzi, Leman Akoglu:
Scalable Anomaly Ranking of Attributed Neighborhoods. CoRR abs/1601.06711 (2016) - [i11]Emaad A. Manzoor, Sadegh Momeni, Venkat N. Venkatakrishnan, Leman Akoglu:
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. CoRR abs/1602.04844 (2016) - [i10]Junting Ye, Santhosh Kumar, Leman Akoglu:
Temporal Opinion Spam Detection by Multivariate Indicative Signals. CoRR abs/1603.01929 (2016) - [i9]Rachee Singh, Hyungjoon Koo, Najmehalsadat Miramirkhani, Fahimeh Mirhaj, Leman Akoglu, Phillipa Gill:
The Politics of Routing: Investigating the Relationship Between AS Connectivity and Internet Freedom. CoRR abs/1606.02230 (2016) - [i8]Shebuti Rayana, Wen Zhong, Leman Akoglu:
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. CoRR abs/1609.05528 (2016) - 2015
- [j5]Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph based anomaly detection and description: a survey. Data Min. Knowl. Discov. 29(3): 626-688 (2015) - [j4]Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. 75: 38-48 (2015) - [j3]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Detecting high-quality posts in community question answering sites. Inf. Sci. 302: 70-82 (2015) - [j2]Vasudev Bhat, Adheesh Gokhale, Ravi Jadhav, Jagat Sastry Pudipeddi, Leman Akoglu:
Effects of tag usage on question response time - Analysis and prediction in StackOverflow. Soc. Netw. Anal. Min. 5(1): 24:1-24:13 (2015) - [c44]Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM 2015: 659-666 - [c43]Alex Beutel, Leman Akoglu, Christos Faloutsos:
Fraud Detection through Graph-Based User Behavior Modeling. CCS 2015: 1696-1697 - [c42]Junting Ye, Leman Akoglu:
Discovering Opinion Spammer Groups by Network Footprints. COSN 2015: 97 - [c41]Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens:
Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS 2015: 918-927 - [c40]Shebuti Rayana, Leman Akoglu:
Collective Opinion Spam Detection: Bridging Review Networks and Metadata. KDD 2015: 985-994 - [c39]Alex Beutel, Leman Akoglu, Christos Faloutsos:
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection. KDD 2015: 2309-2310 - [c38]Junting Ye, Leman Akoglu:
Discovering Opinion Spammer Groups by Network Footprints. ECML/PKDD (1) 2015: 267-282 - [c37]Hau Chan, Shuchu Han, Leman Akoglu:
Where Graph Topology Matters: The Robust Subgraph Problem. SDM 2015: 10-18 - [c36]Shebuti Rayana, Leman Akoglu:
Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs. SDM 2015: 622-630 - [c35]Mirza Basim Baig, Leman Akoglu:
Correlation of Node Importance Measures: An Empirical Study through Graph Robustness. WWW (Companion Volume) 2015: 275-281 - [i7]Shebuti Rayana, Leman Akoglu:
Less is More: Building Selective Anomaly Ensembles. CoRR abs/1501.01924 (2015) - [i6]Hau Chan, Shuchu Han, Leman Akoglu:
Where Graph Topology Matters: The Robust Subgraph Problem. CoRR abs/1501.01939 (2015) - [i5]Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos:
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. CoRR abs/1510.05544 (2015) - [i4]Junting Ye, Leman Akoglu:
Robust Semi-Supervised Classification for Multi-Relational Graphs. CoRR abs/1510.06024 (2015) - [i3]Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos:
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. CoRR abs/1511.06030 (2015) - 2014
- [c34]Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi:
ConnotationWordNet: Learning Connotation over the Word+Sense Network. ACL (1) 2014: 1544-1554 - [c33]Tiantian Gao, Leman Akoglu:
Fast Information-Theoretic Agglomerative Co-clustering. ADC 2014: 147-159 - [c32]Vasudev Bhat, Adheesh Gokhale, Ravi Jadhav, Jagat Sastry Pudipeddi, Leman Akoglu:
Min(e)d your tags: Analysis of Question response time in StackOverflow. ASONAM 2014: 328-335 - [c31]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Joint voting prediction for questions and answers in CQA. ASONAM 2014: 340-343 - [c30]Leman Akoglu:
Quantifying Political Polarity Based on Bipartite Opinion Networks. ICWSM 2014 - [c29]Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller:
Focused clustering and outlier detection in large attributed graphs. KDD 2014: 1346-1355 - [c28]Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu:
Fast Nearest Neighbor Search on Large Time-Evolving Graphs. ECML/PKDD (1) 2014: 17-33 - [c27]Hau Chan, Leman Akoglu, Hanghang Tong:
Make It or Break It: Manipulating Robustness in Large Networks. SDM 2014: 325-333 - [c26]U Kang, Leman Akoglu, Duen Horng Chau:
Big graph mining for the web and social media: algorithms, anomaly detection, and applications. WSDM 2014: 677-678 - [c25]Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong:
User churn in focused question answering sites: characterizations and prediction. WWW (Companion Volume) 2014: 469-474 - [i2]Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph-based Anomaly Detection and Description: A Survey. CoRR abs/1404.4679 (2014) - 2013
- [c24]Vivek Kulkarni, Jagat Sastry Pudipeddi, Leman Akoglu, Joshua T. Vogelstein, R. Jacob Vogelstein, Sephira Ryman, Rex E. Jung:
Sex Differences in the Human Connectome. Brain and Health Informatics 2013: 82-91 - [c23]Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco:
Do more views of a graph help? Community detection and clustering in multi-graphs. FUSION 2013: 899-905 - [c22]Hau Chan, Leman Akoglu:
External Evaluation of Topic Models: A Graph Mining Approach. ICDM 2013: 973-978 - [c21]Leman Akoglu, Rishi Chandy, Christos Faloutsos:
Opinion Fraud Detection in Online Reviews by Network Effects. ICWSM 2013 - [c20]Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken:
Mining Connection Pathways for Marked Nodes in Large Graphs. SDM 2013: 37-45 - [c19]Leman Akoglu, Christos Faloutsos:
Anomaly, event, and fraud detection in large network datasets. WSDM 2013: 773-774 - [i1]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Want a Good Answer? Ask a Good Question First! CoRR abs/1311.6876 (2013) - 2012
- [c18]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM 2012: 696-698 - [c17]Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos:
Fast and reliable anomaly detection in categorical data. CIKM 2012: 415-424 - [c16]Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li:
RolX: structural role extraction & mining in large graphs. KDD 2012: 1231-1239 - [c15]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
TourViz: interactive visualization of connection pathways in large graphs. KDD 2012: 1516-1519 - [c14]Leman Akoglu, Pedro O. S. Vaz de Melo, Christos Faloutsos:
Quantifying Reciprocity in Large Weighted Communication Networks. PAKDD (2) 2012: 85-96 - [c13]Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos:
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. SDM 2012: 439-450 - [c12]Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos:
OPAvion: mining and visualization in large graphs. SIGMOD Conference 2012: 717-720 - 2011
- [c11]Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
It's who you know: graph mining using recursive structural features. KDD 2011: 663-671 - [p1]Mary McGlohon, Leman Akoglu, Christos Faloutsos:
Statistical Properties of Social Networks. Social Network Data Analytics 2011: 17-42 - 2010
- [c10]U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos:
Patterns on the Connected Components of Terabyte-Scale Graphs. ICDM 2010: 875-880 - [c9]Leman Akoglu, Christos Faloutsos:
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System. ICDM Workshops 2010: 1151-1158 - [c8]Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong:
Metric forensics: a multi-level approach for mining volatile graphs. KDD 2010: 163-172 - [c7]Leman Akoglu, Bhavana Dalvi:
Structure, tie persistence and event detection in large phone and SMS networks. MLG@KDD 2010: 10-17 - [c6]Leman Akoglu, Mary McGlohon, Christos Faloutsos:
oddball: Spotting Anomalies in Weighted Graphs. PAKDD (2) 2010: 410-421 - [c5]Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro:
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users. ECML/PKDD (3) 2010: 354-369
2000 – 2009
- 2009
- [j1]Leman Akoglu, Christos Faloutsos:
RTG: a recursive realistic graph generator using random typing. Data Min. Knowl. Discov. 19(2): 194-209 (2009) - [c4]Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu:
Large human communication networks: patterns and a utility-driven generator. KDD 2009: 269-278 - [c3]Leman Akoglu, Christos Faloutsos:
RTG: A Recursive Realistic Graph Generator Using Random Typing. ECML/PKDD (1) 2009: 13-28 - 2008
- [c2]Leman Akoglu, Mary McGlohon, Christos Faloutsos:
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs. ICDM 2008: 701-706 - [c1]Mary McGlohon, Leman Akoglu, Christos Faloutsos:
Weighted graphs and disconnected components: patterns and a generator. KDD 2008: 524-532
Coauthor Index
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