Publications
Conference/Journal
-
2019
-
-
-
-
2018
- A Quest for Structure:Jointly Learning the Graph Structure and Semi-Supervised Classification
Xuan Wu∗, Lingxiao Zhao∗, Leman Akoglu
ACM CIKM 2018, Turin, Italy
- Online Localized Change Detection for Sensor Data on a Graph
Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry Pileggi, Christos Faloutsos
ACM CIKM 2018, Turin, Italy
- Incorporating Privileged Information to Unsupervised Anomaly Detection [arXiv] [ project page ]
Shubhranshu Shekhar & Leman Akoglu
ECML PKDD 2018, Dublin, Ireland
Best Student Machine Learning Paper Runner-up Award
- Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud
Meghanath Macha, Deepak Pai, Leman Akoglu
ECML PKDD 2018, Dublin, Ireland
- Beyond Outlier Detection: LookOut for Pictorial Explanation
Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos
ECML PKDD 2018, Dublin, Ireland
-
- Explaining Anomalies in Groups with Characterizing Subspace Rules [arXiv] [ data & code]
Meghanath Macha and Leman Akoglu
ECML PKDD 2018 (Journal Track), Dublin, Ireland
- A Lens into Employee Peer Reviews via Sentiment-Aspect Modeling [ code]
Abhinav Maurya, Leman Akoglu, Ramayya Krishnan, Daniel Bay
ACM/IEEE ASONAM 2018 (Industry Track), Barcelona, Spain
- xStream: Outlier Dete‘x’ion in Feature-Evolving Data Streams
Emaad A. Manzoor, Hemank Lamba, Leman Akoglu
ACM SIGKDD 2018, London, UK
- Robust Semi-Supervised Learning on Multiple Networks with Noise [ data & code]
Junting Ye and Leman Akoglu
PAKDD 2018, Melbourne, Australia
-
2017
-
-
- Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset
Sokratis Vidros, Constantinos Kolias, Georgios Kambourakis, Leman Akoglu
Future Internet, 9(1), 6; doi:10.3390/fi9010006, Mar 2017.
- A Domain-Agnostic Approach to Spam-URL Detection via Redirects [ data] [slides]
Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu
PAKDD 2017, Jeju, South Korea
2016
- Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
[arXiv] [ project page] [ ODDS data repo]
Shebuti Rayana, Wen Zhong, Leman Akoglu
IEEE ICDM 2016, Barcelona, Spain
- Optimizing Network Robustness by Edge Rewiring: A General Framework
Hau Chan and Leman Akoglu
Data Mining and Knowledge Discovery (DAMI), Volume 30, Issue 5, pp 1395–1425, Sep 2016.
- Fast Memory-Efficient Anomaly Detection in Streaming Heterogeneous Graphs (full)
[ project page]
Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu
ACM SIGKDD 2016, San Francisco, CA
- Temporal Opinion Spam Detection by Multivariate Indicative Signals
[arXiv] [ code] [poster]
Junting Ye, Santhosh Kumar, Leman Akoglu
ICWSM 2016, Cologne, Germany
- GOTCHA! Network-based Fraud Detection for Social Security Fraud
Veronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
Management Science (INFORMS), MS-14-00232.R4, 2016.
- Less is More: Building Selective Anomaly Ensembles
Shebuti Rayana and Leman Akoglu
Transactions on Knowledge Discovery from Data (TKDD), 10(4): 42, 2016.
- Scalable Anomaly Ranking of Attributed Neighborhoods [ project page]
Bryan Perozzi and Leman Akoglu
SIAM SDM 2016, Miami, Florida
Best Research Paper Runner-up Award
- Collective Opinion Spam Detection using Active Inference
Shebuti Rayana and Leman Akoglu
SIAM SDM 2016, Miami, Florida
- BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gunnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
SIAM SDM 2016, Miami, Florida
- Optimizing Network Robustness by Edge Rewiring: A General Framework
Hau Chan and Leman Akoglu
ECML PKDD 2016, Journal Track
2015
- Discovering Opinion Spammer Groups by Network Footprints [ code] [slides]
Junting Ye and Leman Akoglu
ECML PKDD 2015, Porto, Portugal
- Collective Opinion Spam Detection: Bridging Review Networks and Metadata
[ project page] [slides]
Shebuti Rayana and Leman Akoglu
ACM SIGKDD 2015, Sydney, AU
- AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks
Veronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens.
IEEE/ACM ASONAM 2015, Paris, France
- Effects of Tag Usage on Question Response Time: Analysis and Prediction in StackOverflow
Vasudev Bhat, Adheesh Gokhale, Ravi Jadhav, Jagat Sastry Pudipeddi, Leman Akoglu
Social Network Analysis and Mining, (SNAM-D-14-00101R1) Springer, 2015.
- Correlation of Node Importance Measures: An Empirical Study through Graph Robustness
Mirza Basim Baig and Leman Akoglu
WWW 2015 Companion, Web Science Track (13.8%), Florence, Italy
Invited to a special issue of the Journal of Web Science
-
- APATE: A Novel Approach for Automated Credit Card Transaction Fraud Detection using Network-Based Extensions.
Veronique Van Vlasselaer, Cristian Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens.
Decision Support Systems, May 2015.
- Less is More: Building Selective Anomaly Ensembles [ project page]
(with Application to Event Detection in Temporal Graphs)
Shebuti Rayana and Leman Akoglu
SIAM SDM 2015, Vancouver, BC, Canada (Oral presentation)
- Where Graph Topology Matters: The Robust Subgraph Problem
Hau Chan, Shuchu Han, Leman Akoglu
SIAM SDM 2015, Vancouver, BC, Canada (Oral presentation)
Best Research Paper Award Invited to Statistical Analysis and Data Mining
- Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. Veronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens.
HICSS 2015, Kauai, HI
2014
- Fast Nearest Neighbor Search on Large Time-Evolving Graphs. [slides]
Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu.
ECML PKDD 2014, Nancy, France
- Focused Clustering and Outlier Detection in Large Attributed Graphs. [slides] [ code] [project page]
Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sanchez, Emmanuel Müller.
ACM SIGKDD 2014, NYC, New York
- Min(e)d Your Tags: Analysis of Question Response Time in StackOverflow. (Full paper) [slides]
Vasudev Bhat, Adheesh Gokhale, Ravi Jadhav, Jagat S. Pudipeddi, Leman Akoglu.
IEEE/ACM ASONAM 2014, Beijing, China
Invited to appear in SNAM (Social Network Analysis and Mining) journal by Springer
(ASONAM best papers)
- Joint Voting Prediction for Questions and Answers in CQA. [MIT Tech Review]
Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu.
IEEE/ACM ASONAM 2014, Beijing, China
Invited to appear in SNAM (Social Network Analysis and Mining) journal by Springer
(ASONAM best papers)
- Graph-based Anomaly Detection and Description: A Survey. [bibtex]
Leman Akoglu, Hanghang Tong, Danai Koutra.
Data Mining and Knowledge Discovery (DAMI), April 2014.
- Fast Information-Theoretic Agglomerative Co-Clustering [supplementary] [code]
Tiantian Gao and Leman Akoglu.
ADC 2014, Brisbane, Australia
Best Paper Award
- Quantifying Political Polarity based on Bipartite Opinion Networks [code]
Leman Akoglu.
ICWSM 2014, Ann Arbor, Michigan
- ConnotationWordNet: Learning Connotation of the Word+Sense Network (Full paper)
Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi.
ACL 2014, Baltimore, Maryland
- Make It or Break It: Manipulating Robustness in Large Networks [slides] [tech report]
Hau Chan, Leman Akoglu, Hanghang Tong
SIAM SDM 2014, Philadelphia, PA
- User Churn in Focused Q&A Sites: Characterizations and Prediction
Jagat S. Pudipeddi, Leman Akoglu, Hanghang Tong
WWW 2014, Seoul, Korea
-
-
-
2013
-
- External Evaluation of Topic Models: A Graph Mining Approach [long version]
Hau Chan and Leman Akoglu
IEEE ICDM 2013, Dallas, Texas
- Sex Differences in the Human Connectome
Vivek Kulkarni, Jagat S. Pudipeddi, Leman Akoglu, Joshua Vogelstein, Jacob Vogelstein, Sephira Ryman, Rex E. Jung
BHI 2013, Maebashi, Japan
- Opinion Fraud Detection in Online Reviews using Network Effects
Leman Akoglu, Rishi Chandy, Christos Faloutsos
ICWSM 2013, Boston, MA
- Do more views of a graph help? Community Detection and Clustering in Multi-Graphs
Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco
FUSION 2013, Istanbul, Turkey
- Mining Connection Pathways for Marked Nodes in Large Graphs
Leman Akoglu, Jilles Vreeken, Hanghang Tong, Duen Horng Chau, Nikolaj Tatti, Christos Faloutsos
SIAM SDM 2013, Austin, Texas
-
- Fast and Reliable Anomaly Detection in Categoric Data
Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos
ACM CIKM 2012, Maui, Hawaii
- TourViz: Interactive Visualization of Connection Pathways in Large Graphs (Demo paper)
Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
ACM SIGKDD 2012, Beijing, China
- RolX: Structural Role Extraction & Mining in Large Graphs
Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Lei Li, Christos Faloutsos.
ACM SIGKDD 2012, Beijing, China
- Quantifying Reciprocity in Large Weighted Communication Networks
Leman Akoglu, Pedro Olmo Vaz de Melo, Christos Faloutsos.
PAKDD 2012, Kuala Lumpur, Malaysia
Received the PAKDD Student Travel Grant Award
- OPAvion: Mining and visualization in large graphs (Demo paper)
Leman Akoglu*, Duen Horng Chau*, U Kang*, Danai Koutra*, Christos Faloutsos
SIGMOD 2012, Scottsdale, Arizona
- PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs
Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos.
SIAM SDM 2012, Anaheim, CA
-
-
- It’s Who You Know: Graph Mining Using Recursive Structural Features
Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos.
ACM SIGKDD 2011, San Diego, CA
- Patterns on the Connected Components of Terabyte-Scale Graphs
U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos.
IEEE ICDM 2010, Sydney, Australia
- Surprising Patterns for the Call Duration Distribution of Mobile Phone Users
Pedro Olmo Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Loureiro.
ECML PKDD 2010, Barcelona, Spain
Received the Google ECML/PKDD 2010 Conference and Travel Grant Award for Women in CS
- MetricForensics: A Multi-Level Approach for Mining Volatile Graphs
Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong.
ACM SIGKDD 2010, Washington, DC
- OddBall: Spotting Anomalies in Weighted Graphs
Leman Akoglu, Mary McGlohon, Christos Faloutsos.
PAKDD 2010, Hyderabad, India
Best Research Paper Award
- RTG: A Recursive Realistic Graph Generator using Random Typing
Leman Akoglu and Christos Faloutsos.
ECML PKDD 2009, Bled, Slovenia
Best Knowledge Discovery Paper Award
- Large Human Communication Networks: Patterns and a Utility-Driven Generator
Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu.
ACM SIGKDD 2009, Paris, France
- RTM : Laws and a Recursive Generator for Weighted Time-Evolving Graphs
Leman Akoglu, Mary McGlohon, Christos Faloutsos.
ICDM 2008, Pisa, Italy
- Weighted Graphs and Disconnected Components: Patterns and a Generator
Mary McGlohon, Leman Akoglu, Christos Faloutsos.
ACM SIGKDD 2008, Las Vegas, NV
Workshop
- EdgeCentric: Anomaly Detection in Edge-Attributed Networks [ code]
Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Gunnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos.
IEEE ICDM Workshop on Data Mining for Cyber Security, Barcelona, Spain, Dec. 2016.
- The Politics of Routing: Investigating the Relationship Between AS Connectivity and Internet Freedom
Rachee Singh, Hyungjoon Koo, Najmehalsadat Miramirkhani, Fahimeh Mirhaj, Leman Akoglu, Phillipa Gill.
FOCI/USENIX, Austin, TX, USA, Aug. 2016.
- An Ensemble Approach for Event Detection and Characterization in Dynamic Graphs
Shebuti Rayana, Leman Akoglu
ACM SIGKDD 2nd Workshop on Outlier Detection and Description (ODD^2@KDD 2014), NYC, NY, Aug. 2014
- Proceedings: KDD 2014 Workshop on Outlier Detection and Description under Data Diversity
Charu Aggarwal, Leman Akoglu, Emmanuel Muller, Raymond T. Ng (editors)
ACM SIGKDD 2nd Workshop on Outlier Detection and Description (ODD^2@KDD 2014), NYC, NY, Aug. 2014
- Proceedings of the KDD 2013 Workshop on Outlier Detection and Description
Leman Akoglu, Emmanuel Muller, Jilles Vreeken (editors)
ACM SIGKDD 1st Workshop on Outlier Detection and Description (ODD@KDD 2013), Chicago, IL, USA, Aug. 2013.
- Mining and Visualizing Connection Pathways in Large Information Networks (poster)
Leman Akoglu, Jilles Vreeken, Hanghang Tong, Duen Horng Chau, Christos Faloutsos
WIN: Workshop on Information in Networks, New York, USA, Sep. 2012.
- ValuePick: Towards a Value-Oriented Dual-Goal Recommender System
Leman Akoglu and Christos Faloutsos.
ICDM Workshop on Optimization Based Methods for Emerging Data Mining Problems, Sydney, Australia, Dec. 2010.
- Event Detection in Time Series of Mobile Communication Graphs
Leman Akoglu and Christos Faloutsos.
27th Army Science Conference, Orlando, Florida, Dec. 2010.
- Structure, Tie Persistence and Event Detection in Large Phone and SMS Networks
Leman Akoglu and Bhavana Dalvi.
ACM SIGKDD Workshop on Mining and Learning with Graphs, Washington, DC, July 2010.