Simple Estimators for Relational Bayesian Classifiers. - Jennifer Neville; David D. Jensen; Brian Gallagher (ICDM, 2003)

Exploiting relational structure to understand publication patterns in high-energy physics. - Amy McGovern; Lisa Friedland; Michael Hay; Brian Gallagher; Andrew S. Fast; Jennifer Neville; David D. Jensen (SIGKDD Explor., 2003)

Why collective inference improves relational classification. - David D. Jensen; Jennifer Neville; Brian Gallagher (KDD, 2004)

Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching. - Brian Gallagher (AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection, 2006)

MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. - John Burgess; Brian Gallagher; David D. Jensen; Brian Neil Levine (INFOCOM, 2006)

Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods. - Brian Gallagher; Hidlehiko Akatsuka; Hideaki Suzuki (IEEE Veh. Technol. Mag., 2006)

An Examination of Experimental Methodology for Classifiers of Relational Data. - Brian Gallagher; Tina Eliassi-Rad (ICDM Workshops, 2007)

Fast best-effort pattern matching in large attributed graphs. - Hanghang Tong; Christos Faloutsos; Brian Gallagher; Tina Eliassi-Rad (KDD, 2007)

GRAPHITE: A Visual Query System for Large Graphs. - Duen Horng Chau; Christos Faloutsos; Hanghang Tong; Jason I. Hong; Brian Gallagher; Tina Eliassi-Rad (ICDM Workshops, 2008)

Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. - Brian Gallagher; Tina Eliassi-Rad (SNAKDD, 2008)

Using ghost edges for classification in sparsely labeled networks. - Brian Gallagher; Hanghang Tong; Tina Eliassi-Rad; Christos Faloutsos (KDD, 2008)

Collective Classification in Network Data. - Prithviraj Sen; Galileo Namata; Mustafa Bilgic 001; Lise Getoor; Brian Gallagher; Tina Eliassi-Rad (AI Mag., 2008)

Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. - Jennifer Neville; Brian Gallagher; Tina Eliassi-Rad (ICDM, 2009)

Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. - Marios Iliofotou; Brian Gallagher; Tina Eliassi-Rad; Guowu Xie; Michalis Faloutsos (CoNEXT, 2010)

Link Homophily in the Application Layer and its Usage in Traffic Classification. - Brian Gallagher; Marios Iliofotou; Tina Eliassi-Rad; Michalis Faloutsos (INFOCOM, 2010)

It's who you know: graph mining using recursive structural features. - Keith Henderson; Brian Gallagher; Lei Li 005; Leman Akoglu; Tina Eliassi-Rad; Hanghang Tong; Christos Faloutsos (KDD, 2011)

Correcting Bias in Statistical Tests for Network Classifier Evaluation. - Tao Wang; Jennifer Neville; Brian Gallagher; Tina Eliassi-Rad (ECML/PKDD (3), 2011)

Massively parallel acceleration of a document-similarity classifier to detect web attacks. - Craig D. Ulmer; Maya B. Gokhale; Brian Gallagher; Philip Top; Tina Eliassi-Rad (J. Parallel Distributed Comput., 2011)

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 005 (KDD, 2012)

Role-dynamics: fast mining of large dynamic networks. - Ryan A. Rossi; Brian Gallagher; Jennifer Neville; Keith Henderson (WWW (Companion Volume), 2012)

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks - Ryan A. Rossi; Brian Gallagher; Jennifer Neville; Keith Henderson (CoRR, 2012)

Correcting evaluation bias of relational classifiers with network cross validation. - Jennifer Neville; Brian Gallagher; Tina Eliassi-Rad; Tao Wang (Knowl. Inf. Syst., 2012)

Modeling dynamic behavior in large evolving graphs. - Ryan A. Rossi; Brian Gallagher; Jennifer Neville; Keith Henderson (WSDM, 2013)

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. - Neil Shah; Alex Beutel; Brian Gallagher; Christos Faloutsos (ICDM, 2014)

A Guide to Selecting a Network Similarity Method. - Sucheta Soundarajan; Tina Eliassi-Rad; Brian Gallagher (SDM, 2014)

Attributed graph models: modeling network structure with correlated attributes. - Joseph J. Pfeiffer III; Sebastián Moreno; Timothy La Fond; Jennifer Neville; Brian Gallagher (WWW, 2014)

Anomaly Detection in Dynamic Networks of Varying Size. - Timothy La Fond; Jennifer Neville; Brian Gallagher (CoRR, 2014)

TimeCrunch: Interpretable Dynamic Graph Summarization. - Neil Shah; Danai Koutra; Tianmin Zou; Brian Gallagher; Christos Faloutsos (KDD, 2015)

EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. - Keith Henderson; Brian Gallagher; Tina Eliassi-Rad (SAC, 2015)

First Development of a 5.9GHz DSRC On-Vehicle Coverage Capability. - Brian Gallagher (VTC Fall, 2015)

MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. - Sucheta Soundarajan; Tina Eliassi-Rad; Brian Gallagher; Ali Pinar (CoRR, 2015)

MaxReach: Reducing network incompleteness through node probes. - Sucheta Soundarajan; Tina Eliassi-Rad; Brian Gallagher; Ali Pinar (ASONAM, 2016)

Overlapping Target Event and Story Line Detection of Online Newspaper Articles. - Yifang Wei; Lisa Singh; Brian Gallagher; David Buttler (DSAA, 2016)

A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations. - Ming Jiang 005; Brian Gallagher; Joshua Kallman; Daniel E. Laney (ICMLA, 2016)

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 (WWW (Companion Volume), 2016)

Size-Consistent Statistics for Anomaly Detection in Dynamic Networks. - Timothy La Fond; Jennifer Neville; Brian Gallagher (CoRR, 2016)

DeltaCon: Principled Massive-Graph Similarity Function with Attribution. - Danai Koutra; Neil Shah; Joshua T. Vogelstein; Brian Gallagher; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2016)

ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. - Sucheta Soundarajan; Tina Eliassi-Rad; Brian Gallagher; Ali Pinar (WebSci, 2017)

On Summarizing Large-Scale Dynamic Graphs. - Neil Shah; Danai Koutra; Lisa Jin; Tianmin Zou; Brian Gallagher; Christos Faloutsos (IEEE Data Eng. Bull., 2017)

Network Structure Inference, A Survey: Motivations, Methods, and Applications. - Ivan Brugere; Brian Gallagher; Tanya Y. Berger-Wolf (ACM Comput. Surv., 2018)

Using semantic graphs to detect overlapping target events and story lines from newspaper articles. - Yifang Wei; Lisa Singh; David Buttler; Brian Gallagher (Int. J. Data Sci. Anal., 2018)

Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks. - Timothy La Fond; Jennifer Neville; Brian Gallagher (ACM Trans. Knowl. Discov. Data, 2018)

Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion. - Ming Jiang 005; Brian Gallagher; Albert Chu; Ghaleb Abdulla; Timothy Bender (HPC Asia, 2020)

Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. - Anna M. Hiszpanski; Brian Gallagher; Karthik Chellappan; Peggy Li; Shusen Liu 001; Hyojin Kim 001; Jinkyu Han; Bhavya Kailkhura; David J. Buttler; Thomas Yong-Jin Han (J. Chem. Inf. Model., 2020)

Industrial control system device classification using network traffic features and neural network embeddings. - Indrasis Chakraborty; Brian M. Kelley; Brian Gallagher (Array, 2021)

Explaining neural network predictions of material strength. - Ian A. Palmer; T. Nathan Mundhenk; Brian Gallagher; Yong Han (CoRR, 2021)

Device Classification for Industrial Control Systems Using Predicted Traffic Features. - Indrasis Chakraborty; Brian M. Kelley; Brian Gallagher (Frontiers Comput. Sci., 2022)

RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. - Gabriel J. Perin; Xuxi Chen; Shusen Liu 001; Bhavya Kailkhura; Zhangyang Wang; Brian Gallagher (ACL (Findings), 2024)

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 001; Everardo Yeriel Olivares; Kate Elder; Scott McCall; Aurelien Perron; Joseph McKeown; Bhavya Kailkhura; Zhangyang Wang; Brian Gallagher (CPAL, 2024)