Brian Gallagher
Cited by
Cited by
Collective classification in network data
P Sen, G Namata, M Bilgic, L Getoor, B Gallagher, T Eliassi-Rad
AI magazine 29 (3), 93, 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
RolX: Structural Role Extraction & Mining in Large Graphs
K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, ...
Why collective inference improves relational classification
D Jensen, J Neville, B Gallagher
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 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
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
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
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
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
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
Simple estimators for relational bayesian classifiers
J Neville, D Jensen, B Gallagher
Third IEEE International Conference on Data Mining, 609-612, 2003
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
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
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
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
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
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
A Guide to Selecting a Network Similarity Method
S Soundarajan, T Eliassi-Rad, B Gallagher
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
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
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