A Ramsey Theorem for Indecomposable Matchings. - James P. Fairbanks (Electron. J. Comb., 2011)

A statistical framework for streaming graph analysis. - James P. Fairbanks; David Ediger; Robert McColl; David A. Bader; Eric Gilbert (ASONAM, 2013)

Behavioral clusters in dynamic graphs. - James P. Fairbanks; Ramakrishnan Kannan; Haesun Park; David A. Bader (Parallel Comput., 2015)

New stopping criteria for spectral partitioning. - James P. Fairbanks; Anita Zakrzewska; David A. Bader (ASONAM, 2016)

A local measure of community change in dynamic graphs. - Anita Zakrzewska; Eisha Nathan; James P. Fairbanks; David A. Bader (ASONAM, 2016)

Graph analysis combining numerical, statistical, and streaming techniques. - James P. Fairbanks (2016)

Ranking in Dynamic Graphs Using Exponential Centrality. - Eisha Nathan; James P. Fairbanks; David A. Bader (COMPLEX NETWORKS, 2017)

Integrating productivity-oriented programming languages with high-performance data structures. - Rohit Varkey Thankachan; Eric R. Hein; Brian Paul Swenson; James P. Fairbanks (HPEC, 2017)

Graph Ranking Guarantees for Numerical Approximations to Katz Centrality. - Eisha Nathan; Geoffrey Sanders; James P. Fairbanks; Van Emden Henson; David A. Bader (ICCS, 2017)

Deriving Streaming Graph Algorithms from Static Definitions. - David Ediger; James P. Fairbanks (IPDPS Workshops, 2017)

Spectral partitioning with blends of eigenvectors. - James P. Fairbanks; David A. Bader; Geoffrey D. Sanders (J. Complex Networks, 2017)

Performance Effects of Dynamic Graph Data Structures in Community Detection Algorithms. - Rohit Varkey Thankachan; Brian Paul Swenson; James P. Fairbanks (HPEC, 2018)

Credibility Development with Knowledge Graphs. - James P. Fairbanks; Natalie Fitch; Franklin Bradfield; Erica Briscoe (MISDOOM, 2019)

A Compositional Framework for Scientific Model Augmentation. - Micah Halter; Christine Herlihy; James P. Fairbanks (ACT, 2019)

Compositional Scientific Computing with Catlab and SemanticModels. - Micah Halter; Evan Patterson; Andrew Baas; James P. Fairbanks (CoRR, 2020)

Operadic Modeling of Dynamical Systems: Mathematics and Computation. - Sophie Libkind; Andrew Baas; Evan Patterson; James P. Fairbanks (ACT, 2021)

Double pushout rewriting of C-sets. - Kristopher Brown; Evan Patterson; James P. Fairbanks (CoRR, 2021)

Categorical Data Structures for Technical Computing. - Evan Patterson; Owen Lynch; James P. Fairbanks (Compositionality, 2022)

An Algebraic Framework for Structured Epidemic Modeling. - Sophie Libkind; Andrew Baas; Micah Halter; Evan Patterson; James P. Fairbanks (CoRR, 2022)

Compositional Exploration of Combinatorial Scientific Models. - Kristopher Brown; Tyler Hanks; James P. Fairbanks (CoRR, 2022)

Characterizing Compositionality of LQR from the Categorical Perspective. - Baike She; Tyler Hanks; James P. Fairbanks; Matthew Hale 001 (CDC, 2023)

Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves. - Ernst Althaus; Benjamin Merlin Bumpus; James P. Fairbanks; Daniel Rosiak (CoRR, 2023)

A Categorical Representation Language and Computational System for Knowledge-Based Planning. - Angeline Aguinaldo; Evan Patterson; James P. Fairbanks; Jaime Ruiz (CoRR, 2023)

The application of applied category theory to quantify mission success. - Robert K. Garrett Jr.; James P. Fairbanks; Margaret L. Loper; James D. Moreland Jr. (Simul., 2023)

Computational category-theoretic rewriting. - Kristopher Brown; Evan Patterson; Tyler Hanks; James P. Fairbanks (J. Log. Algebraic Methods Program., 2023)

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. - Tyler Hanks; Baike She; Evan Patterson; Matthew Hale 001; Matthew Klawonn; James P. Fairbanks (ACC, 2024)

A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. - Rebekah Aduddell; James P. Fairbanks; Amit Kumar; Pablo S. Ocal; Evan Patterson; Brandon T. Shapiro (Compositionality, 2024)

Towards a Unified Theory of Time-Varying Data. - Benjamin Merlin Bumpus; James P. Fairbanks; Martti Karvonen; Wilmer Leal; Frédéric Simard (CoRR, 2024)

Generalized Gradient Descent is a Hypergraph Functor. - Tyler Hanks; Matthew Klawonn; James P. Fairbanks (CoRR, 2024)

GATlab: Modeling and Programming with Generalized Algebraic Theories. - Owen Lynch; Kristopher Brown; James P. Fairbanks; Evan Patterson (CoRR, 2024)

Pushing Tree Decompositions Forward Along Graph Homomorphisms. - Benjamin Merlin Bumpus; James P. Fairbanks; Will J. Turner (CoRR, 2024)

Decapodes: A diagrammatic tool for representing, composing, and computing spatialized partial differential equations. - Luke Morris; Andrew Baas; Jesus Arias; Maia Gatlin; Evan Patterson; James P. Fairbanks (J. Comput. Sci., 2024)

Learning Diagrams: A Graphical Language for Compositional Training Regimes. - Mason Lary; Richard Samuelson; Alexander Wilentz; Alina Zare; Matthew Klawonn; James P. Fairbanks (ICLR, 2025)

DiagrammaticLearning: A Graphical Language for Compositional Training Regimes. - Mason Lary; Richard Samuelson; Alexander Wilentz; Alina Zare; Matthew Klawonn; James P. Fairbanks (CoRR, 2025)

Distributed Multi-agent Coordination over Cellular Sheaves. - Tyler Hanks; Hans Riess; Samuel Cohen; Trevor Gross; Matthew Hale 001; James P. Fairbanks (CoRR, 2025)