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Brian Gallagher
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Collective classification in network data
P Sen, G Namata, M Bilgic, L Getoor, B Gallagher, T Eliassi-Rad
AI magazine 29 (3), 93, 2008
48652008
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
29502006
RolX: Structural Role Extraction & Mining in Large Graphs
K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, ...
5762012
Why collective inference improves relational classification
D Jensen, J Neville, B Gallagher
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
3782004
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
361*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
3452007
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
3002006
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
2482013
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
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
1942015
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
1732018
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
1722016
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
1662019
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
1632014
Simple estimators for relational bayesian classifiers
J Neville, D Jensen, B Gallagher
Third IEEE International Conference on Data Mining, 609-612, 2003
1542003
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
1472022
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
1342014
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
932010
A Guide to Selecting a Network Similarity Method
S Soundarajan, T Eliassi-Rad, B Gallagher
862014
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
772020
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