Brian Gallagher

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 22

Top Topics

Dynamic Networks

Similarity Values

Newspaper Articles

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) (2024)
Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
Device Classification for Industrial Control Systems Using Predicted Traffic Features. Frontiers Comput. Sci. 4 (2022)
Ian A. Palmer, T. Nathan Mundhenk, Brian Gallagher, Yong Han
Explaining neural network predictions of material strength. CoRR (2021)
Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
Industrial control system device classification using network traffic features and neural network embeddings. Array 12 (2021)
Ming Jiang, Brian Gallagher, Albert Chu, Ghaleb Abdulla, Timothy Bender
Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion. HPC Asia (2020)
Anna M. Hiszpanski, Brian Gallagher, Karthik Chellappan, Peggy Li, Shusen Liu, Hyojin Kim, Jinkyu Han, Bhavya Kailkhura, David J. Buttler, Thomas Yong-Jin Han
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. J. Chem. Inf. Model. 60 (6) (2020)
Timothy La Fond, Jennifer Neville, Brian Gallagher
Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Yifang Wei, Lisa Singh, David Buttler, Brian Gallagher
Using semantic graphs to detect overlapping target events and story lines from newspaper articles. Int. J. Data Sci. Anal. 5 (1) (2018)
Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
Network Structure Inference, A Survey: Motivations, Methods, and Applications. ACM Comput. Surv. 51 (2) (2018)
Neil Shah, Danai Koutra, Lisa Jin, Tianmin Zou, Brian Gallagher, Christos Faloutsos
On Summarizing Large-Scale Dynamic Graphs. IEEE Data Eng. Bull. 40 (3) (2017)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci (2017)
Danai Koutra, Neil Shah, Joshua T. Vogelstein, Brian Gallagher, Christos Faloutsos
DeltaCon: Principled Massive-Graph Similarity Function with Attribution. ACM Trans. Knowl. Discov. Data 10 (3) (2016)
Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) (2016)
Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
Network Structure Inference, A Survey: Motivations, Methods, and Applications. CoRR (2016)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
MaxReach: Reducing network incompleteness through node probes. ASONAM (2016)
Yifang Wei, Lisa Singh, Brian Gallagher, David Buttler
Overlapping Target Event and Story Line Detection of Online Newspaper Articles. DSAA (2016)
Ming Jiang, Brian Gallagher, Joshua Kallman, Daniel Laney
A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations. ICMLA (2016)
Timothy La Fond, Jennifer Neville, Brian Gallagher
Size-Consistent Statistics for Anomaly Detection in Dynamic Networks. CoRR (2016)
Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos
TimeCrunch: Interpretable Dynamic Graph Summarization. KDD (2015)
Brian Gallagher
First Development of a 5.9GHz DSRC On-Vehicle Coverage Capability. VTC Fall (2015)
Keith Henderson, Brian Gallagher, Tina Eliassi-Rad
EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC (2015)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR (2015)
Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher
Attributed graph models: modeling network structure with correlated attributes. WWW (2014)
Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. ICDM (2014)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
A Guide to Selecting a Network Similarity Method. SDM (2014)
Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. CoRR (2014)
Timothy La Fond, Jennifer Neville, Brian Gallagher
Anomaly Detection in Dynamic Networks of Varying Size. CoRR (2014)
Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
Modeling dynamic behavior in large evolving graphs. WSDM (2013)
Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
RolX: structural role extraction & mining in large graphs. KDD (2012)
Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks CoRR (2012)
Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, Tao Wang
Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. 30 (1) (2012)
Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
Role-Dynamics: Fast Mining of Large Dynamic Networks CoRR (2012)
Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) (2012)
Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos
It's who you know: graph mining using recursive structural features. KDD (2011)
Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher, Philip Top, Tina Eliassi-Rad
Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. 71 (2) (2011)
Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) (2011)
Brian Gallagher, Marios Iliofotou, Tina Eliassi-Rad, Michalis Faloutsos
Link Homophily in the Application Layer and its Usage in Traffic Classification. INFOCOM (2010)
Marios Iliofotou, Brian Gallagher, Tina Eliassi-Rad, Guowu Xie, Michalis Faloutsos
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. CoNEXT (2010)
Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM (2009)
Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
Collective Classification in Network Data. AI Mag. 29 (3) (2008)
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos
Using ghost edges for classification in sparsely labeled networks. KDD (2008)
Brian Gallagher, Tina Eliassi-Rad
Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. SNAKDD (2008)
Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops (2008)
Brian Gallagher, Tina Eliassi-Rad
An Examination of Experimental Methodology for Classifiers of Relational Data. ICDM Workshops (2007)
Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad
Fast best-effort pattern matching in large attributed graphs. KDD (2007)
Brian Gallagher
Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection (2006)
Brian Gallagher, Hidlehiko Akatsuka, Hideaki Suzuki
Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods. IEEE Veh. Technol. Mag. 1 (4) (2006)
John Burgess, Brian Gallagher, David D. Jensen, Brian Neil Levine
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. INFOCOM (2006)
David D. Jensen, Jennifer Neville, Brian Gallagher
Why collective inference improves relational classification. KDD (2004)
Jennifer Neville, David D. Jensen, Brian Gallagher
Simple Estimators for Relational Bayesian Classifiers. ICDM (2003)
Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen
Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explor. 5 (2) (2003)