Attributed dynamic network embedding with stability guarantees (2025) [pdf]
Emma Ceccherini, Ian Gallagher, Andrew Jones, Daniel Lawson
Uncertainty in Artificial Intelligence (UAI)

Spectral embedding and the latent geometry of multipartite networks (2025) [pdf]
Alex Modell, Ian Gallagher, Joshua Cape, Patrick Rubin-Delanchy
Journal of Nonparametric Statistics

Valid conformal prediction for dynamic GNNs (2025) [pdf]
Ed Davis, Ian Gallagher, Daniel Lawson, Patrick Rubin-Delanchy
International Conference on Learning Representations (ICLR)

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)

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