Aligning the Unseen in Attributed Graphs: Interplay between Graph Geometry and Node Attributes Manifold

Aldric Labarthe, Roland Bouffanais, Julien Randon-Furling

The standard approach to representation learning on attributed graphs -- i.e., simultaneously reconstructing node attributes and graph structure -- is geometrically flawed, as it m…