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Leman Akoglu
Leman Akoglu
Associate Professor, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Graph based anomaly detection and description: a survey
L Akoglu, H Tong, D Koutra
Data mining and knowledge discovery 29 (3), 626-688, 2015
12442015
Oddball: Spotting anomalies in weighted graphs
L Akoglu, M McGlohon, C Faloutsos
Pacific-Asia conference on knowledge discovery and data mining, 410-421, 2010
6592010
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
4862013
Collective opinion spam detection: Bridging review networks and metadata
S Rayana, L Akoglu
Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015
4682015
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
4582012
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
4122015
Pairnorm: Tackling oversmoothing in gnns
L Zhao, L Akoglu
arXiv preprint arXiv:1909.12223, 2019
2472019
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
2362011
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
2342014
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
2012020
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
1692012
Event detection in time series of mobile communication graphs
L Akoglu, C Faloutsos
Army science conference 1, 2010
1682010
Discovering opinion spammer groups by network footprints
J Ye, L Akoglu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
1662015
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
1572008
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
1502016
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
1442017
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
1402012
Do more views of a graph help? community detection and clustering in multi-graphs
EE Papalexakis, L Akoglu, D Ience
Proceedings of the 16th International Conference on Information Fusion, 899-905, 2013
1252013
Birdnest: Bayesian inference for ratings-fraud detection
B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016
1222016
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, 2021
1192021
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