2 papers
cs.AI2026
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…
cs.SI2025
Revealing Higher-Order Interactions in Complex Networks: A U.S. Diplomacy Case Study
Arthur Rondeau, Didier Wernli, Roland Bouffanais
Although diplomatic communication has long been examined in the social sciences, its network structure remains underexplored. Using the U.S. diplomatic cables released by WikiLeaks…