Bayesian block modelling for weighted networks. - Ian Gallagher (MLG@KDD, 2010)

Splash: Speech and Language Assessment in Schools and Homes. - Avin Miwardelli; Ian Gallagher; Jenny Gibson; Napoleon Katsos; Kate M. Knill; Helena Wood (INTERSPEECH, 2019)

Spectral clustering in the weighted stochastic block model. - Ian Gallagher; Anna Bertiger; Carey E. Priebe; Patrick Rubin-Delanchy (CoRR, 2019)

Spectral embedding for dynamic networks with stability guarantees. - Ian Gallagher; Andrew Jones; Patrick Rubin-Delanchy (NeurIPS, 2021)

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. - Alexander Modell; Ian Gallagher; Emma Ceccherini; Nick Whiteley; Patrick Rubin-Delanchy (NeurIPS, 2023)

A Simple and Powerful Framework for Stable Dynamic Network Embedding. - Ed Davis; Ian Gallagher; Daniel John Lawson; Patrick Rubin-Delanchy (CoRR, 2023)

Valid Conformal Prediction for Dynamic GNNs. - Ed Davis; Ian Gallagher; Daniel John Lawson; Patrick Rubin-Delanchy (ICLR, 2025)

Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees. - Emma Ceccherini; Ian Gallagher; Andrew Jones; Daniel John Lawson (UAI, 2025)

Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees. - Emma Ceccherini; Ian Gallagher; Andrew Jones; Daniel Lawson (CoRR, 2025)