![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Leman Akoglu
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [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] - [i58]Lingxiao Zhao, Xueying Ding, Leman Akoglu:
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation. CoRR abs/2402.03687 (2024) - [i57]Lingxiao Zhao, Xueying Ding, Lijun Yu
, Leman Akoglu:
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion. CoRR abs/2402.03701 (2024) - [i56]Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu:
Descriptive Kernel Convolution Network with Improved Random Walk Kernel. CoRR abs/2402.06087 (2024) - [i55]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) - [i54]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) - 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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-10 01:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint