Valid conformal prediction for dynamic GNNs (2025) [pdf]
Ed Davis, Ian Gallagher, Daniel Lawson, Patrick Rubin-Delanchy

Intensity profile projection: a framework for continuous-time representation learning for dynamic networks (2023) [pdf]
Alex Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
Advances in Neural Information Processing Systems (NeurIPS)

Spectral embedding of weighted graphs (2023) [pdf]
Ian Gallagher, Andrew Jones, Anna Bertiger, Carey Priebe, Patrick Rubin-Delanchy
Journal of the American Statistical Association (JASA)

Spectral embedding for dynamic networks with stability guarantees (2021) [pdf]
Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy
Advances in Neural Information Processing Systems (NeurIPS)

Attributed dynamic network embedding with stability guarantees
Emma Ceccherini, Ian Gallagher, Andrew Jones, Daniel Lawson

Large scale and stable graph differential analysis via multi-layer node embeddings and ranking [pdf]
Panagiotis Mandros, Ian Gallagher, Viola Fanfani, Chen Chen, Jonas Fischer, Anis Ismail, Lauren Hsu, Enakshi Saha, Derrick K. DeConti, John Quackenbush

A simple and powerful framework for stable dynamic network embedding [pdf]
Ed Davis, Ian Gallagher, Daniel Lawson, Patrick Rubin-Delanchy 

Spectral embedding and the latent geometry of multipartite networks [pdf]
Alex Modell, Ian Gallagher, Joshua Cape, Patrick Rubin-Delanchy