Symmetry in complex networks. - Ben D. MacArthur; Rubén J. Sánchez-García; James W. Anderson (Discret. Appl. Math., 2008)

Exploiting symmetry in network analysis. - Rubén J. Sánchez-García (CoRR, 2018)

Morse Theory and an Impossibility Theorem for Graph Clustering. - Fabio Strazzeri; Rubén J. Sánchez-García (CoRR, 2018)

Geometry and symmetry in biochemical reaction systems. - Raffaella Mulas; Rubén J. Sánchez-García; Ben D. MacArthur (Theory Biosci., 2021)

Possibility results for graph clustering: A novel consistency axiom. - Fabio Strazzeri; Rubén J. Sánchez-García (Pattern Recognit., 2022)

The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data. - Thomas Davies 001; Zhengchao Wan; Rubén J. Sánchez-García (ICML, 2023)

Zoo Guide to Network Embedding. - Anthony Baptista; Rubén J. Sánchez-García; Anaïs Baudot; Ginestra Bianconi (CoRR, 2023)

Learning from data with structured missingness. - Robin Mitra; Sarah F. McGough; Tapabrata Chakraborti; Chris C. Holmes; Ryan Copping; Niels Hagenbuch; Stefanie Biedermann; Jack Noonan; Brieuc Lehmann; Aditi Shenvi; Xuan Vinh Doan; David Leslie; et al. (Nat. Mac. Intell., 2023)

An information-theoretic approach to single cell sequencing analysis. - Michael J. Casey; Jörg Fliege; Rubén J. Sánchez-García; Ben D. MacArthur (BMC Bioinform., 2023)

A directed persistent homology theory for dissimilarity functions. - David Méndez; Rubén J. Sánchez-García (J. Appl. Comput. Topol., 2023)

Mining higher-order triadic interactions. - Anthony Baptista; Marta Niedostatek; Jun Yamamoto; Ben D. MacArthur; Jürgen Kurths; Rubén J. Sánchez-García; Ginestra Bianconi (CoRR, 2024)