Leman Akoglu
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Graph based anomaly detection and description: a survey
L Akoglu, H Tong, D Koutra
Data mining and knowledge discovery 29, 626-688, 2015
Beyond homophily in graph neural networks: Current limitations and effective designs
J Zhu, Y Yan, L Zhao, M Heimann, L Akoglu, D Koutra
Advances in neural information processing systems 33, 7793-7804, 2020
Oddball: Spotting anomalies in weighted graphs
L Akoglu, M McGlohon, C Faloutsos
Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia …, 2010
Collective opinion spam detection: Bridging review networks and metadata
S Rayana, L Akoglu
Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015
Opinion fraud detection in online reviews by network effects
L Akoglu, R Chandy, C Faloutsos
Proceedings of the international AAAI conference on web and social media 7 …, 2013
Rolx: structural role extraction & mining in large graphs
K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Pairnorm: Tackling oversmoothing in gnns
L Zhao, L Akoglu
arXiv preprint arXiv:1909.12223, 2019
A comprehensive survey on graph anomaly detection with deep learning
X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu
IEEE Transactions on Knowledge and Data Engineering 35 (12), 12012-12038, 2021
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions
V Van Vlasselaer, C Bravo, O Caelen, T Eliassi-Rad, L Akoglu, M Snoeck, ...
Decision support systems 75, 38-48, 2015
Focused clustering and outlier detection in large attributed graphs
B Perozzi, L Akoglu, P Iglesias Sánchez, E Müller
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
It's who you know: graph mining using recursive structural features
K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ...
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Fast memory-efficient anomaly detection in streaming heterogeneous graphs
E Manzoor, SM Milajerdi, L Akoglu
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
Discovering opinion spammer groups by network footprints
J Ye, L Akoglu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
Gotcha! network-based fraud detection for social security fraud
V Van Vlasselaer, T Eliassi-Rad, L Akoglu, M Snoeck, B Baesens
Management Science 63 (9), 3090-3110, 2017
Event detection in time series of mobile communication graphs
L Akoglu, C Faloutsos
Army science conference 1, 141, 2010
Pics: Parameter-free identification of cohesive subgroups in large attributed graphs
L Akoglu, H Tong, B Meeder, C Faloutsos
Proceedings of the 2012 SIAM international conference on data mining, 439-450, 2012
Weighted graphs and disconnected components: patterns and a generator
M McGlohon, L Akoglu, C Faloutsos
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Scalable anomaly ranking of attributed neighborhoods
B Perozzi, L Akoglu
Proceedings of the 2016 SIAM International Conference on Data Mining, 207-215, 2016
Less is more: Building selective anomaly ensembles
S Rayana, L Akoglu
Acm transactions on knowledge discovery from data (tkdd) 10 (4), 1-33, 2016
Fast and reliable anomaly detection in categorical data
L Akoglu, H Tong, J Vreeken, C Faloutsos
Proceedings of the 21st ACM international conference on Information and …, 2012
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