Mark Girolami

Improving Embedding of Graphs With Missing Data by Soft Manifolds.

2026 · Apollo (University of Cambridge)

Embedding graphs in continuous spaces is a key factor for automatic information extraction in diverse tasks (e.g., learning, inferring, predicting). The reliability of graph embeddings directly depends on how much the geometry of the manifold …