| Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Gallagher, T Eliassi-Rad AI magazine 29 (3), 93, 2008 | 5642 | 2008 |
| Maxprop: Routing for vehicle-based disruption-tolerant networks J Burgess, B Gallagher, D Jensen, BN Levine INFOCOM 2006. 25th IEEE International Conference on Computer Communications …, 2006 | 2968 | 2006 |
| RolX: Structural Role Extraction & Mining in Large Graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, ... | 618 | 2012 |
| Why collective inference improves relational classification D Jensen, J Neville, B Gallagher Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 386 | 2004 |
| 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 | 368 | 2011 |
| 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 | 361 | 2007 |
| Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching. B Gallagher AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection 45 …, 2006 | 311 | 2006 |
| Explainable machine learning in materials science X Zhong, B Gallagher, S Liu, B Kailkhura, A Hiszpanski, TYJ Han npj Computational Materials 8 (1), 204, 2022 | 285 | 2022 |
| Modeling dynamic behavior in large evolving graphs RA Rossi, B Gallagher, J Neville, K Henderson Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 261 | 2013 |
| 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 | 215 | 2008 |
| TimeCrunch: Interpretable Dynamic Graph Summarization N Shah, D Koutra, T Zou, B Gallagher, C Faloutsos Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 206 | 2015 |
| Reliable and explainable machine-learning methods for accelerated material discovery B Kailkhura, B Gallagher, S Kim, A Hiszpanski, TYJ Han npj Computational Materials 5 (1), 108, 2019 | 199 | 2019 |
| Network structure inference, a survey: Motivations, methods, and applications I Brugere, B Gallagher, TY Berger-Wolf ACM Computing Surveys (CSUR) 51 (2), 1-39, 2018 | 192 | 2018 |
| DeltaCon Principled Massive-Graph Similarity Function with Attribution D Koutra, N Shah, JT Vogelstein, B Gallagher, C Faloutsos ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 1-43, 2016 | 192 | 2016 |
| Attributed graph models: modeling network structure with correlated attributes JJ Pfeiffer III, S Moreno, T La Fond, J Neville, B Gallagher Proceedings of the 23rd international conference on World wide web, 831-842, 2014 | 172 | 2014 |
| Simple estimators for relational bayesian classifiers J Neville, D Jensen, B Gallagher Third IEEE International Conference on Data Mining, 609-612, 2003 | 155 | 2003 |
| Spotting suspicious link behavior with fbox: An adversarial perspective N Shah, A Beutel, B Gallagher, C Faloutsos 2014 IEEE International Conference on Data Mining, 959-964, 2014 | 140 | 2014 |
| Leveraging label-independent features for classification in sparsely labeled networks: An empirical study B Gallagher, T Eliassi-Rad Advances in Social Network Mining and Analysis, 1-19, 2010 | 95 | 2010 |
| A Guide to Selecting a Network Similarity Method S Soundarajan, T Eliassi-Rad, B Gallagher | 91 | 2014 |
| Nanomaterial synthesis insights from machine learning of scientific articles by extracting, structuring, and visualizing knowledge AM Hiszpanski, B Gallagher, K Chellappan, P Li, S Liu, H Kim, J Han, ... Journal of chemical information and modeling 60 (6), 2876-2887, 2020 | 87 | 2020 |
Tina Eliassi-RadInaugural Joseph E. Aoun Professor, Northeastern UniversityVerified email at eliassi.org
