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 | 4220 | 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 | 556 | 2012 |
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 | 502 | 2015 |
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 | 341 | 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 | 300 | 2006 |
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 | 293 | 2012 |
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 | 277 | 2011 |
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 | 240 | 2021 |
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 | 230 | 2015 |
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 | 207 | 2008 |
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 | 194 | 2017 |
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 | 184 | 2010 |
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 | 148 | 2016 |
Netsimile: A scalable approach to size-independent network similarity M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos arXiv preprint arXiv:1209.2684, 2012 | 148 | 2012 |
A socio-technical approach to preventing, mitigating, and recovering from ransomware attacks DF Sittig, H Singh Applied clinical informatics 7 (02), 624-632, 2016 | 136 | 2016 |
Measuring algorithmically infused societies C Wagner, M Strohmaier, A Olteanu, E Kıcıman, N Contractor, ... Nature 595 (7866), 197-204, 2021 | 113 | 2021 |
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 | 113 | 2015 |
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 | 111 | 2009 |
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 | 108 | 2013 |
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 29, 2020 | 104 | 2020 |