Brian Gallagher

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Citations	9073	4742
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Tina Eliassi-RadProfessor of Computer Science, Northeastern UniversityVerified email at eliassi.org
Jennifer NevilleProfessor of Computer Science and Statistics, Purdue UniversityVerified email at cs.purdue.edu
Christos FaloutsosCMUVerified email at cs.cmu.edu
David JensenProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Brian Neil LevineProfessor, College of Information and Computer Sciences, UMass AmherstVerified email at cs.umass.edu
Sucheta SoundarajanSyracuse UniversityVerified email at syr.edu
Lei LiUniversity of Western OntarioVerified email at utoronto.ca
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Mustafa BilgicIllinois Institute of TechnologyVerified email at iit.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Prithviraj SenIBM ResearchVerified email at us.ibm.com
Neil ShahResearch Scientist at SnapVerified email at snap.com
Ryan A. RossiAdobe ResearchVerified email at adobe.com
Ali PinarSandia National LabsVerified email at sandia.gov
T. Yong-Jin HanLawrence Livermore National LaboratoryVerified email at llnl.gov
Sugato BasuDistinguished Scientist at GoogleVerified email at google.com
Polo ChauAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
Anna M. HiszpanskiLawrence Livermore National LaboratoryVerified email at llnl.gov

Brian Gallagher

Computer Scientist, Lawrence Livermore National Laboratory

Verified email at llnl.gov - Homepage

Scientific Machine Learning Data Mining Statistical Relational Learning Network Analysis


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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	2760	2006
Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Gallagher, T Eliassi-Rad AI magazine 29 (3), 93, 2008	2534	2008
RolX: Structural Role Extraction & Mining in Large Graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, ...	448	2012
Why collective inference improves relational classification D Jensen, J Neville, B Gallagher Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	360	2004
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	321	2007
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	293*	2011
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	273	2006
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	211	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	192	2008
Simple estimators for relational bayesian classifiers J Neville, D Jensen, B Gallagher Third IEEE International Conference on Data Mining, 609-612, 2003	152	2003
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	145	2015
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	119	2014
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	113	2016
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	111	2014
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	106	2018
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	81	2010
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), 1-9, 2019	77	2019
Exploiting relational structure to understand publication patterns in high-energy physics A McGovern, L Friedland, M Hay, B Gallagher, A Fast, J Neville, D Jensen ACM SIGKDD Explorations Newsletter 5 (2), 165-172, 2003	68	2003
Graphite: A visual query system for large graphs DH Chau, C Faloutsos, H Tong, JI Hong, B Gallagher, T Eliassi-Rad 2008 IEEE International Conference on Data Mining Workshops, 963-966, 2008	67	2008
A Guide to Selecting a Network Similarity Method S Soundarajan, T Eliassi-Rad, B Gallagher	60	2014

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