| 2008 |
|---|
| 7 | EE | Brian Gallagher,
Hanghang Tong,
Tina Eliassi-Rad,
Christos Faloutsos:
Using ghost edges for classification in sparsely labeled networks.
KDD 2008: 256-264 |
| 2007 |
|---|
| 6 | EE | Brian Gallagher,
Tina Eliassi-Rad:
An Examination of Experimental Methodology for Classifiers of Relational Data.
ICDM Workshops 2007: 411-416 |
| 5 | EE | Hanghang Tong,
Christos Faloutsos,
Brian Gallagher,
Tina Eliassi-Rad:
Fast best-effort pattern matching in large attributed graphs.
KDD 2007: 737-746 |
| 2006 |
|---|
| 4 | EE | John Burgess,
Brian Gallagher,
David Jensen,
Brian Neil Levine:
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks.
INFOCOM 2006 |
| 2004 |
|---|
| 3 | EE | David Jensen,
Jennifer Neville,
Brian Gallagher:
Why collective inference improves relational classification.
KDD 2004: 593-598 |
| 2003 |
|---|
| 2 | EE | Jennifer Neville,
David Jensen,
Brian Gallagher:
Simple Estimators for Relational Bayesian Classifiers.
ICDM 2003: 609-612 |
| 1 | EE | Amy McGovern,
Lisa Friedland,
Michael Hay,
Brian Gallagher,
Andrew Fast,
Jennifer Neville,
David Jensen:
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explorations 5(2): 165-172 (2003) |
