Tina Eliassi-Rad

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	All	Since 2016
Citations	5835	3725
h-index	32	27
i10-index	64	45

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Co-authors

Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Christos FaloutsosCMUVerified email at cs.cmu.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Leman AkogluAssociate Professor of Information Systems, Heinz College, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Sucheta SoundarajanSyracuse UniversityVerified email at syr.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
Monique SnoeckManagement Information Systems, Faculty of Economics and Business and Economics, KU LeuvenVerified email at kuleuven.be
Véronique Van VlasselaerKU LeuvenVerified email at kuleuven.be
Duen Horng (Polo) ChauAssociate Professor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
Michalis FaloutsosU. C. RiversideVerified email at cs.ucr.edu
Spiros PapadimitriouRutgers UniversityVerified email at rutgers.edu
Mustafa BilgicIllinois Institute of TechnologyVerified email at iit.edu
Prithviraj SenIBM ResearchVerified email at us.ibm.com
Michele BerlingerioNovartis - AI Innovation CenterVerified email at novartis.com
Terence CritchlowPrincipal Technical Program Manager, Amazon.comVerified email at amazon.com
Charalampos E. TsourakakisBoston University & Harvard UniversityVerified email at seas.harvard.edu
Jennifer NevilleProfessor of Computer Science and Statistics, Purdue UniversityVerified email at cs.purdue.edu

Tina Eliassi-Rad

Professor of Computer Science, Northeastern University

Verified email at eliassi.org - Homepage

Data Mining Machine Learning Network Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad AI magazine 29 (3), 93-93, 2008	1614	2008
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	352	2012
Fast best-effort pattern matching in large attributed graphs H Tong, C Faloutsos, B Gallagher, T Eliassi-Rad Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	296	2007
Visual analysis of large heterogeneous social networks by semantic and structural abstraction Z Shen, KL Ma, T Eliassi-Rad IEEE transactions on visualization and computer graphics 12 (6), 1427-1439, 2006	245	2006
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	239	2011
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	227	2015
Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	201	2012
Using ghost edges for classification in sparsely labeled networks B Gallagher, H Tong, T Eliassi-Rad, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	176	2008
A probabilistic model for using social networks in personalized item recommendation AJB Chaney, DM Blei, T Eliassi-Rad Proceedings of the 9th ACM Conference on Recommender Systems, 43-50, 2015	166	2015
On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE International Conference on Data Mining, 1091-1096, 2010	142	2010
Applying latent dirichlet allocation to group discovery in large graphs K Henderson, T Eliassi-Rad Proceedings of the 2009 ACM symposium on Applied Computing, 1456-1461, 2009	93	2009
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	91	2017
Netsimile: A scalable approach to size-independent network similarity M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos arXiv preprint arXiv:1209.2684, 2012	89	2012
Measuring tie strength in implicit social networks M Gupte, T Eliassi-Rad Proceedings of the 4th Annual ACM Web Science Conference, 109-118, 2012	85	2012
Corescope: Graph mining using k-core analysis—patterns, anomalies and algorithms K Shin, T Eliassi-Rad, C Faloutsos 2016 IEEE 16th international conference on data mining (ICDM), 469-478, 2016	78	2016
Metric forensics: a multi-level approach for mining volatile graphs K Henderson, T Eliassi-Rad, C Faloutsos, L Akoglu, L Li, K Maruhashi, ... Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	73	2010
Network similarity via multiple social theories M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013	70	2013
Leveraging label-independent features for classification in sparsely labeled networks: An empirical study B Gallagher, T Eliassi-Rad International Workshop on Social Network Mining and Analysis, 1-19, 2008	67	2008
Guided learning for role discovery (glrd) framework, algorithms, and applications S Gilpin, T Eliassi-Rad, I Davidson Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	64	2013
HCDF: A hybrid community discovery framework K Henderson, T Eliassi-Rad, S Papadimitriou, C Faloutsos Proceedings of the 2010 SIAM International Conference on Data Mining, 754-765, 2010	64	2010

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