Следене
Tina Eliassi-Rad
Tina Eliassi-Rad
Professor & The Inaugural Joseph E. Aoun Chair, Northeastern University
Потвърден имейл адрес: eliassi.org - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
48262008
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
5692012
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
5442015
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
3442007
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
3062012
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
3042006
The why, how, and when of representations for complex systems
L Torres, AS Blevins, D Bassett, T Eliassi-Rad
SIAM Review 63 (3), 435-485, 2021
2992021
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
2832011
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
2232015
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
2142017
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
2132008
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
1862010
Netsimile: A scalable approach to size-independent network similarity
M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos
arXiv preprint arXiv:1209.2684, 2012
1602012
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
1592016
A socio-technical approach to preventing, mitigating, and recovering from ransomware attacks
DF Sittig, H Singh
Applied clinical informatics 7 (02), 624-632, 2016
1482016
Measuring algorithmically infused societies
C Wagner, M Strohmaier, A Olteanu, E Kıcıman, N Contractor, ...
Nature 595 (7866), 197-204, 2021
1322021
Node immunization on large graphs: Theory and algorithms
C Chen, H Tong, BA Prakash, CE Tsourakakis, T Eliassi-Rad, C Faloutsos, ...
IEEE Transactions on Knowledge and Data Engineering 28 (1), 113-126, 2015
1192015
Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak
B Klein, T LaRock, S McCabe, L Torres, F Privitera, B Lake, MUG Kraemer, ...
Northeastern University Network Science Institute, 2020
1152020
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
1132013
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
1122009
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