Leman Akoglu

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses.

[BibT_eX]

[DOI]

Hung T. Nguyen

Xuejian Wang

ACM Trans. Knowl. Discov. Data, 2020

Anomaly Detection in Large Labeled Multi-Graph Databases.

[BibT_eX]

[DOI]

Hung T. Nguyen

Pierre J. Liang

CoRR, 2020

Automating Outlier Detection via Meta-Learning.

[BibT_eX]

[DOI]

Yue Zhao

Ryan A. Rossi

CoRR, 2020

Connecting Graph Convolutional Networks and Graph-Regularized PCA.

[BibT_eX]

[DOI]

Lingxiao Zhao

CoRR, 2020

Generalizing Graph Neural Networks Beyond Homophily.

[BibT_eX]

[DOI]

CoRR, 2020

SUOD: A Scalable Unsupervised Outlier Detection Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PairNorm: Tackling Oversmoothing in GNNs.

[BibT_eX]

[DOI]

Lingxiao Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

AutoAudit: Mining Accounting and Time-Evolving Graphs.

[BibT_eX]

[DOI]

Meng-Chieh Lee

Yue Zhao

Aluna Wang

Pierre Jinghong Liang

Vincent S. Tseng

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Coverage-based Outlier Explanation.

[BibT_eX]

[DOI]

Yue Wu

Ian Davidson

CoRR, 2019

ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections.

[BibT_eX]

[DOI]

Tuan M. V. Le

Proceedings of the World Wide Web Conference, 2019

Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback.

[BibT_eX]

[DOI]

Hemank Lamba

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration?

[BibT_eX]

[DOI]

Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

Continual Rare-Class Recognition with Emerging Novel Subclasses.

[BibT_eX]

[DOI]

Hung T. Nguyen

Xuejian Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection.

[BibT_eX]

[DOI]

Xiaoyi Gu

Alessandro Rinaldo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

BuScope: Fusing Individual & Aggregated Mobility Behavior for.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

2018

Discovering Communities and Anomalies in Attributed Graphs: Interactive Visual Exploration and Summarization.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Explaining anomalies in groups with characterizing subspace rules.

[BibT_eX]

[DOI]

Meghanath Macha

Data Min. Knowl. Discov., 2018

Incorporating Privileged Information to Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Shubhranshu Shekhar

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud.

[BibT_eX]

[DOI]

Meghanath Macha Yadagiri

Deepak Pai

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Beyond Outlier Detection: LookOut for Pictorial Explanation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Robust Semi-Supervised Learning on Multiple Networks with Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

xStream: Outlier Detection in Feature-Evolving Data Streams.

[BibT_eX]

[DOI]

Hemank Lamba

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

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

[BibT_eX]

[DOI]

Xuan Wu

Lingxiao Zhao

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Lens into Employee Peer Reviews Via Sentiment-Aspect Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

GOTCHA! Network-Based Fraud Detection for Social Security Fraud.

[BibT_eX]

[DOI]

Manag. Sci., 2017

Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset.

[BibT_eX]

[DOI]

Future Internet, 2017

LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector.

[BibT_eX]

[DOI]

CoRR, 2017

X-PACS: eXPlaining Anomalies by Characterizing Subspaces.

[BibT_eX]

[DOI]

Meghanath Macha

CoRR, 2017

Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

Ties That Bind: Characterizing Classes by Attributes and Social Ties.

[BibT_eX]

[DOI]

Aria Rezaei

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Ranking in Heterogeneous Networks with Geo-Location Information.

[BibT_eX]

[DOI]

Abhinav Mishra

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Domain-Agnostic Approach to Spam-URL Detection via Redirects.

[BibT_eX]

[DOI]

Heeyoung Kwon

Mirza Basim Baig

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

RUSH!: Targeted Time-limited Coupons via Purchase Forecasts.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

EIC Editorial.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Less is More: Building Selective Anomaly Ensembles.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Optimizing network robustness by edge rewiring: a general framework.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs.

[BibT_eX]

[DOI]

Venkat N. Venkatakrishnan

Sadegh Momeni

Najmehalsadat Miramirkhani

CoRR, 2016

The Politics of Routing: Investigating the Relationship between AS Connectivity and Internet Freedom.

[BibT_eX]

[DOI]

Rachee Singh

Hyungjoon Koo

Fahimeh Mirhaj

Phillipa Gill

Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet, 2016

Collective Opinion Spam Detection using Active Inference.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Scalable Anomaly Ranking of Attributed Neighborhoods.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs.

[BibT_eX]

[DOI]

Sadegh M. Milajerdi

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Temporal Opinion Spam Detection by Multivariate Indicative Signals.

[BibT_eX]

[DOI]

Santhosh Kumar

Proceedings of the Tenth International Conference on Web and Social Media, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

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

[BibT_eX]

[DOI]

Wen Zhong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Effects of tag usage on question response time - Analysis and prediction in StackOverflow.

[BibT_eX]

[DOI]

Vasudev Bhat

Adheesh Gokhale

Ravi Jadhav

Soc. Netw. Anal. Min., 2015

Detecting high-quality posts in community question answering sites.

[BibT_eX]

[DOI]

Inf. Sci., 2015

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.

[BibT_eX]

[DOI]

Decis. Support Syst., 2015

Graph based anomaly detection and description: a survey.

[BibT_eX]

[DOI]

Hanghang Tong

Danai Koutra

Data Min. Knowl. Discov., 2015

Robust Semi-Supervised Classification for Multi-Relational Graphs.

[BibT_eX]

[DOI]

CoRR, 2015

Correlation of Node Importance Measures: An Empirical Study through Graph Robustness.

[BibT_eX]

[DOI]

Mirza Basim Baig

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Where Graph Topology Matters: The Robust Subgraph Problem.

[BibT_eX]

[DOI]

Shuchu Han

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Discovering Opinion Spammer Groups by Network Footprints.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Collective Opinion Spam Detection: Bridging Review Networks and Metadata.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Graph-Based User Behavior Modeling: From Prediction to Fraud Detection.

[BibT_eX]

[DOI]

Alex Beutel

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships.

[BibT_eX]

[DOI]

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Fraud Detection through Graph-Based User Behavior Modeling.

[BibT_eX]

[DOI]

Alex Beutel

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

User churn in focused question answering sites: characterizations and prediction.

[BibT_eX]

[DOI]

Hanghang Tong

Proceedings of the 23rd International World Wide Web Conference, 2014

Big graph mining for the web and social media: algorithms, anomaly detection, and applications.

[BibT_eX]

[DOI]

U Kang

Duen Horng Chau

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Make It or Break It: Manipulating Robustness in Large Networks.

[BibT_eX]

[DOI]

Hanghang Tong

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fast Nearest Neighbor Search on Large Time-Evolving Graphs.

[BibT_eX]

[DOI]

Rohit Khandekar

Vibhore Kumar

Srinivasan Parthasarathy

Deepak Rajan

Kun-Lung Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Focused clustering and outlier detection in large attributed graphs.

[BibT_eX]

[DOI]

Patricia Iglesias Sánchez

Emmanuel Müller

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Quantifying Political Polarity Based on Bipartite Opinion Networks.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Joint voting prediction for questions and answers in CQA.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Min(e)d your tags: Analysis of Question response time in StackOverflow.

[BibT_eX]

[DOI]

Vasudev Bhat

Adheesh Gokhale

Ravi Jadhav

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Fast Information-Theoretic Agglomerative Co-clustering.

[BibT_eX]

[DOI]

Tiantian Gao

Proceedings of the Databases Theory and Applications, 2014

ConnotationWordNet: Learning Connotation over the Word+Sense Network.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Want a Good Answer? Ask a Good Question First!

[BibT_eX]

[DOI]

CoRR, 2013

Anomaly, event, and fraud detection in large network datasets.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Opinion Fraud Detection in Online Reviews by Network Effects.

[BibT_eX]

[DOI]

Rishi Chandy

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

External Evaluation of Topic Models: A Graph Mining Approach.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Do more views of a graph help? Community detection and clustering in multi-graphs.

[BibT_eX]

[DOI]

Evangelos E. Papalexakis

Dino Ienco

Proceedings of the 16th International Conference on Information Fusion, 2013

Sex Differences in the Human Connectome.

[BibT_eX]

[DOI]

Vivek Kulkarni

Proceedings of the Brain and Health Informatics - International Conference, 2013

2012

OPAvion: mining and visualization in large graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Quantifying Reciprocity in Large Weighted Communication Networks.

[BibT_eX]

[DOI]

Pedro O. S. Vaz de Melo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

RolX: structural role extraction & mining in large graphs.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast and reliable anomaly detection in categorical data.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

It's who you know: graph mining using recursive structural features.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Statistical Properties of Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Social Network Data Analytics, 2011

2010

Surprising Patterns for the Call Duration Distribution of Mobile Phone Users.

[BibT_eX]

[DOI]

Pedro O. S. Vaz de Melo

Antonio Alfredo Ferreira Loureiro

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

oddball: Spotting Anomalies in Weighted Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Structure, tie persistence and event detection in large phone and SMS networks.

[BibT_eX]

[DOI]

Bhavana Dalvi

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Metric forensics: a multi-level approach for mining volatile graphs.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Patterns on the Connected Components of Terabyte-Scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

ValuePick: Towards a Value-Oriented Dual-Goal Recommender System.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

2009

RTG: a recursive realistic graph generator using random typing.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2009

Large human communication networks: patterns and a utility-driven generator.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Weighted graphs and disconnected components: patterns and a generator.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs.

[BibT_eX]

[DOI]