Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees

no code implementations • 4 Mar 2025 • Emma Ceccherini, Ian Gallagher, Andrew Jones, Daniel Lawson

Stability for dynamic network embeddings ensures that nodes behaving the same at different times receive the same embedding, allowing comparison of nodes in the network across time.

Link Prediction Network Embedding +2

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks

no code implementations • NeurIPS 2023 • Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy

We present a new representation learning framework, Intensity Profile Projection, for continuous-time dynamic network data.

Representation Learning