Brian Gallagher

Researcher, Lawrence Livermore National Laboratory

Joined

July 2019

Names

Brian Gallagher

Emails

****@llnl.gov (Confirmed)

****@briangallagher.net (Confirmed)

Personal Links

Google Scholar

Semantic Scholar

Career & Education History

Researcher

Lawrence Livermore National Laboratory (llnl.gov)

2005 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Scientific Machine Learning

2015 – Present

Social Network Analysis

2002 – Present

Publications

Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework
Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and An Integrated Optimization Framework
Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
- Published: 17 Mar 2023, Last Modified: 21 Apr 2023
- ml4materials-iclr2023 Oral
- Readers: Everyone
Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and An Integrated Optimization Framework
Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott K. McCall, Aurelien Pierre Philippe Perron, Joseph T. McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Generating Graph Snapshots from Streaming Edge Data
Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
- 2016 (modified: 12 Nov 2022)
- WWW (Companion Volume) 2016
- Readers: Everyone
TimeCrunch: Interpretable Dynamic Graph Summarization
Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos
- 2015 (modified: 16 Jul 2019)
- KDD 2015
- Readers: Everyone
Attributed graph models: modeling network structure with correlated attributes
Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher
- 2014 (modified: 12 Nov 2022)
- WWW 2014
- Readers: Everyone
Role-dynamics: fast mining of large dynamic networks
Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
- 2012 (modified: 12 Nov 2022)
- WWW (Companion Volume) 2012
- Readers: Everyone
RolX: structural role extraction & mining in large graphs
Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
- 2012 (modified: 04 Sept 2019)
- KDD 2012
- Readers: Everyone
It's who you know: graph mining using recursive structural features
Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos
- 2011 (modified: 12 Nov 2022)
- KDD 2011
- Readers: Everyone
Using ghost edges for classification in sparsely labeled networks
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos
- 2008 (modified: 16 Jul 2019)
- KDD 2008
- Readers: Everyone

View all 13 publications

Co-Authors

View all 33 co-authors