2 papers
stat.CO2025
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
Emerald Dilworth, Ed Davis, Daniel J. Lawson
Quantifying uncertainty in networks is an important step in modelling relationships and interactions between entities. We consider the challenge of bootstrapping an inhomogeneous r…
stat.ML2025
Valid Conformal Prediction for Dynamic GNNs
Ed Davis, Ian Gallagher, Daniel John Lawson +1
Dynamic graphs provide a flexible data abstraction for modelling many sorts of real-world systems, such as transport, trade, and social networks. Graph neural networks (GNNs) are p…